def _init_arguments(self) -> dict: """define class specfic data here when inherting""" min_vol = 0.4 max_vol = 1 return { "volume_curve": infit.Cycle(( interpolations.FallingRising(min_vol, max_vol), interpolations.FallingRising(min_vol, max_vol), interpolations.Falling(min_vol, max_vol), interpolations.RisingFalling(min_vol, max_vol), interpolations.Rising(min_vol, max_vol), interpolations.FallingRising(min_vol, max_vol), )), "osc_noise_volume": infit.Uniform(30, 64), "osc_mix": infit.Value(infit.Gaussian(70, 5)), "osc_tune_mod_depth2": infit.Value(infit.Gaussian(0, 1)), "vcf1_freq_mod_depth": infit.Uniform(0, 10), "vcf1_filter_fm": infit.Cycle(( 0, interpolations.Rising(0, 4), interpolations.FallingRising(-4, 4), interpolations.Falling(0, 4), 0, interpolations.RisingFalling(0, 4), interpolations.Falling(-4, 0), interpolations.Rising(-4, 0), )), }
def _init_arguments(self) -> dict: """define class specfic data here when inherting""" return { "volume_curve": infit.Cycle(( interpolations.Rising(), interpolations.FallingRising(), interpolations.Falling(), interpolations.RisingFalling(), )), "osc_noise_volume": infit.Uniform(0, 25), "osc_mix": infit.Value(infit.Gaussian(50, 25)), "osc_tune_mod_depth2": infit.Cycle(( interpolations.Rising(0, 2), interpolations.Falling(-2, 2), infit.Gaussian(0, 1.5), interpolations.RisingFalling(-2, 2), interpolations.Falling(0, 2), 0, interpolations.Rising(0, 1), infit.Uniform(-1, 1), interpolations.RisingFalling(-1, 1.5), interpolations.Falling(-2, -1), interpolations.Rising(-1, 0), 0, infit.Gaussian(0, 2), )), "vcf1_freq_mod_depth": infit.Uniform(0, 30), "vcf1_filter_fm": infit.Cycle(( 0, interpolations.Rising(0, 10), interpolations.FallingRising(-10, 10), interpolations.Falling(0, 10), 0, interpolations.RisingFalling(0, 10), interpolations.Falling(-10, 0), interpolations.Rising(-10, 0), )), }
def _play( self, tempo: float = 40, rhythm_cycle: infit.InfIt = infit.Cycle((0,)), n_attackes_per_trigger_maker: infit.InfIt = infit.Cycle((1,)), allowed_register: tuple = (-1, 0, 1), allowed_soundgenerator: tuple = ("gender",), fadeout_maker: infit.InfIt = infit.Cycle((1,)), amp_maker: infit.InfIt = infit.Uniform(0.5, 1), find_pitches_within_the_last_n_seconds: float = 3, instruments_to_analyse: tuple = ("violin", "viola", "cello"), # onset detector arguments deltime: float = 0.005, cutoff: float = 70, maxthresh: float = 3, minthresh: float = -20, reltime: float = 0.15, ): self._stop() # override previous attributes self.rhythm_cycle = rhythm_cycle self.n_attackes_per_trigger_maker = n_attackes_per_trigger_maker self.allowed_register = allowed_register self.allowed_soundgenerator = allowed_soundgenerator self.fadeout_maker = fadeout_maker self.amp_maker = amp_maker self.find_pitches_within_the_last_n_seconds = ( find_pitches_within_the_last_n_seconds ) # configure & collect onset detector trigger_signals = [] for string_name, string_object in self.strings.items(): if string_name in instruments_to_analyse: string_object.attack_detector.deltime = deltime string_object.attack_detector.cutoff = cutoff string_object.attack_detector.maxthresh = maxthresh string_object.attack_detector.minthresh = minthresh string_object.attack_detector.play() trigger_signals.append(string_object.attack_detector) # start function for triggering new samples self._trig_func.input = trigger_signals self._trig_func.play()
def _initialise_rests(self, duration: numbers.Number) -> None: test_point_maker = infit.Uniform(7, 12) test_points = [] while sum(test_points) < duration: test_points.append(next(test_point_maker)) test_points[-1] -= sum(test_points) - duration rests = basic.SequentialEvent([]) for absolute_time, test_point_duration in zip( tools.accumulate_from_zero(test_points), test_points): absolute_position_on_timeline = absolute_time / duration activate_rest = self.get_value_of_at( "activate_rest", absolute_position_on_timeline) if activate_rest: rest_duration = self.get_value_of_at( "rest_duration", absolute_position_on_timeline) if rest_duration > test_point_duration: rest_duration = test_point_duration rest = basic.SimpleEvent(rest_duration) rest.is_rest = True rests.append(rest) else: rest_duration = 0 remaining_playing = test_point_duration - rest_duration if remaining_playing: playing = basic.SimpleEvent(remaining_playing) playing.is_rest = False rests.append(playing) # rests_duration = 0 # while rests_duration < duration: # absolute_time = rests.duration / duration # rest_duration = self.get_value_of_at("rest_duration", absolute_time) # event = basic.SimpleEvent(rest_duration) # event.is_rest = self.get_value_of_at("activate_rest", absolute_time) # rests_duration += rest_duration # rests.append(event) # difference = rests_duration - duration # rests[-1].duration -= difference self._rests = rests
def mk_pianoteq_engine( preset: str = __STANDARD_PRESET, fxp: str = __STANDARD_FXP, parameter_non_dissonant_pitches: dict = {}, parameter_dissonant_pitches: dict = {}, empty_attack_dynamic_maker: infit.InfIt = infit.Uniform(0.2, 0.4), modulator: tuple = tuple([]), convert_dissonant_tones2glissandi: bool = False, ) -> type: assert fxp is None or preset is None for parameter in midiplug.PyteqTone._init_args: if parameter not in ( "spectrum_profile_3", "spectrum_profile_5", "spectrum_profile_6", "spectrum_profile_7", ): if parameter not in parameter_non_dissonant_pitches: parameter_non_dissonant_pitches.update({parameter: None}) if parameter not in parameter_dissonant_pitches: parameter_dissonant_pitches.update({parameter: None}) attributes = { "preset": preset, "fxp": fxp, "parameter_dissonant_pitches": parameter_dissonant_pitches, "parameter_non_dissonant_pitches": parameter_non_dissonant_pitches, "empty_attack_dynamic_maker": empty_attack_dynamic_maker, "modulator": modulator, "convert_dissonant_tones2glissandi": convert_dissonant_tones2glissandi, } return type("PianoteqVoice", (__PianoteqVoice, ), attributes)
def mk_trippy_bell_pte( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal: int = 0, *args, **kwargs, ) -> type: # for bell parameters = { "unison_width": infit.Uniform(10, 15.75), "impedance": infit.Uniform(1.55, 1.65, seed=2), "cutoff": infit.Gaussian(1.4, 0.5, seed=10), "q_factor": infit.Gaussian(1.4, 0.1, seed=11), "direct_sound_duration": infit.Uniform(0, 1, seed=12), "sympathetic_resonance": infit.Gaussian(3, 0.5), "duplex_scale": infit.Uniform(8, 20, seed=33), "hammer_noise": infit.Gaussian(2.8, 0.2, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 1.8, "hammer_hard_mezzo": 1.9, "hammer_hard_forte": 2, "strike_point": 1 / 2, "pinch_harmonic_pedal": 0, "sound_speed": infit.Gaussian(300, 20), "blooming_energy": infit.Uniform(1.685, 2), "blooming_inertia": infit.Uniform(1.6, 2), "effect1_switch": 1, "effect1_param1": infit.Gaussian(0.4, 0.05), "effect1_param2": infit.Gaussian(0.55, 0.1), } return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches=parameters, parameter_dissonant_pitches=parameters, *args, **kwargs, )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1): return ( segments.Chord( "{}_Bell0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1), ji.r(5, 4)), group=(group, sub_group0, 0), chord=harmony.find_harmony(name="A", idx=0, gender=gender), gender=gender, n_bars=1, duration_per_bar=5, start=-3, # start=0, dynamic_range_of_voices=(0.6, 0.7), voices_entry_delay_per_voice=(0.03, 0.07, 0.01), anticipation_time=6, overlaying_time=0, pteq_engine_per_voice=( pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), speech_init_attributes={}, volume_envelope_per_track={ "glitterN01": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(4, 1.1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN02": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN12": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), }, glitter_type="drone", glitter_wave_form_per_voice=("square", "saw", "square"), glitter_register_per_voice=(2, 3, 3), glitter_volume_per_voice=(3.85, 4.5, 4.5), glitter_modulater_per_voice=(None, None, None), glitter_release_duration=6, glitter_attack_duration=5, include_glitter=True, include_diva=False, include_natural_radio=False, include_percussion=False, ), segments.FreeStyleCP( "{}_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(12, 5), ji.r(9, 5)), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0.2), interpolations.FloatInterpolationEvent(6, 1), interpolations.FloatInterpolationEvent(2, 1), interpolations.FloatInterpolationEvent(0, 0), ]), "voiceN1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0.2), interpolations.FloatInterpolationEvent(0, 1), ]), "voiceN2": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0.2), interpolations.FloatInterpolationEvent(0, 1), ]), "glitterN01": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(5, 1), interpolations.FloatInterpolationEvent(0, 0.2), ]), "glitterN02": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(5, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN12": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(2, 0.5), interpolations.FloatInterpolationEvent(5, 1), interpolations.FloatInterpolationEvent(0, 0.2), ]), }, diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), energy_per_voice=(5, 10, 10), silence_decider_per_voice=( infit.ActivityLevel(6), infit.ActivityLevel(3), infit.ActivityLevel(3), ), weight_range=(6, 10), decision_type="activity", gender=gender, n_bars=2, duration_per_bar=14.5, start=-5, dynamic_range_of_voices=(0.1, 0.24), anticipation_time=5.5, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(False, True, True), cp_constraints_interpolation=( counterpoint.constraints.AP_tremolo( 0, add_tremolo_decider=infit.ActivityLevel(10), only_on_non_dissonant_pitches=False, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, (4, 11, 5, 6, 7, 4, 3, 4, 19))), ), counterpoint.constraints.AP_tremolo( 1, add_tremolo_decider=infit.ActivityLevel(7), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((4, 3, 10, 5, 3, 7, 4, 11, 3, 9, 14), ))), ), counterpoint.constraints.AP_tremolo( 2, add_tremolo_decider=infit.ActivityLevel(6), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((7, 5, 8, 5, 6, 12, 8, 9, 10, 4), ))), ), ), glitter_include_dissonant_pitches=False, voices_overlaying_time=1, pteq_engine_per_voice=( pteq.mk_super_soft_leading_pte( modulator=(ornamentations.SoftLineGlissandoMaker( activity_lv=7, minima_glissando_duration=0.05, maxima_glissando_duration=0.1, minima_glissando_size=20, maxima_glissando_size=70, ), ), empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle( (2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.3, 0.1), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)), distortion=infit.Uniform(0.7, 1.4), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((1, 0.25, 1)), distortion=infit.Uniform(0.7, 1.3), ), )), likelihood_range=(0.1, 0.325), volume_range=(0.45, 0.64), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(1.4, 2.75), distortion=infit.Uniform(0.3, 1), ), )), likelihood_range=(0.08, 0.54), volume_range=(0.54, 0.8), ignore_beats_occupied_by_voice=False, seed=39, ), ), speech_init_attributes={}, glitter_modulater_per_voice=("randomi", "randomh", "randomh"), glitter_attack_duration=infit.Gaussian(1.2, 0.3), glitter_release_duration=infit.Gaussian(1, 0.2), include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, # radio_silent_channels=(0, 2, 4), radio_samples=( globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0], globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0], ), radio_n_changes=3, radio_average_volume=0.425, radio_shadow_time=0.04, radio_min_volume=0.725, radio_attack_duration=infit.Gaussian(1, 0.1), radio_release_duration=infit.Gaussian(5.2, 0.2), ), segments.Chord( "{}_CF_BELL_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1), ji.r(4, 3)), group=(group, sub_group0, 1), chord=harmony.find_harmony(name="C", gender=gender), gender=gender, n_bars=1, duration_per_bar=8, start=-1.35, dynamic_range_of_voices=(0.4, 0.5), anticipation_time=2.25, overlaying_time=3.25, pteq_engine_per_voice=( pteq.mk_pianoteq_engine( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_pianoteq_engine( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_dreamy_pte( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), speech_init_attributes={}, include_glitter=False, include_diva=False, include_natural_radio=True, include_percussion=False, ), segments.Chord( "{}_Bell1".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1), ji.r(5, 4)), group=(group, sub_group0, 1), chord=harmony.find_harmony(name="A", idx=0, gender=gender), gender=gender, n_bars=1, duration_per_bar=5, start=-5, dynamic_range_of_voices=(0.44, 0.54), voices_entry_delay_per_voice=(0.03, 0.07, 0.01), anticipation_time=5, overlaying_time=0, pteq_engine_per_voice=( pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), speech_init_attributes={}, volume_envelope_per_track={ "glitterN01": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(2, 0.3), interpolations.FloatInterpolationEvent(4, 1.1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN02": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(2, 0.3), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN12": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(2, 0.3), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), }, glitter_type="drone", glitter_wave_form_per_voice=("square", "saw", "square"), glitter_register_per_voice=(3, 3, 4), glitter_volume_per_voice=(3.65, 4.4, 4.4), glitter_modulater_per_voice=(None, None, None), glitter_release_duration=6, glitter_attack_duration=5, include_glitter=True, include_diva=False, include_natural_radio=False, include_percussion=False, ), segments.MelodicCP( "{}_1".format(name), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(10, 2.1), interpolations.FloatInterpolationEvent(0, 2.7), ]), }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1), ji.r(5, 4)), random_seed=100, group=(group, sub_group0, 1), action_per_voice=(0.7, 0.73), sound_per_voice=(0.82, 0.87), phrases=(0, ), melody_register=1, melodic_weight=0, weight_range=(0.3, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=9.25, start=-5, dynamic_range_of_voices=(0.2, 0.35), anticipation_time=3, overlaying_time=2.2, voices_overlaying_time=3.5, glitter_attack_duration=infit.Gaussian(2.1, 0.15), glitter_release_duration=infit.Gaussian(1, 0.15), tremolo_maker_per_voice=( None, None, tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.2675, 0.11))), tremolo_volume_factor=0.48, ), ), pteq_engine_per_voice=( pteq.mk_super_soft_leading_pte( empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.4), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), ), diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), percussion_engine_per_voice=(), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=False, radio_silent_channels=(0, 2, 4), radio_samples=(globals.SAM_RADIO_PROCESSED_DEGRADE[0], ), radio_n_changes=2, radio_average_volume=0.08, radio_shadow_time=0.08, radio_min_volume=0.755, ), segments.MelodicCP( "{}_2".format(name), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(13, 2.2), interpolations.FloatInterpolationEvent(5, 2.75), interpolations.FloatInterpolationEvent(0, 1), ]), "voiceN1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(16.5, 1), interpolations.FloatInterpolationEvent(5, 0.9), interpolations.FloatInterpolationEvent(0, 0.335), ]), "voiceN2": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(17, 1), interpolations.FloatInterpolationEvent(4, 0.9), interpolations.FloatInterpolationEvent(0, 0.4), ]), }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 1), ji.r(3, 1), ji.r(5, 4)), random_seed=1, group=(group, sub_group0, 2), action_per_voice=(0.6, 0.63), sound_per_voice=(0.82, 0.87), phrases=(0, ), melody_register=1, melodic_weight=0, weight_range=(0.3, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=8.9, start=0.75, dynamic_range_of_voices=(0.24, 0.55), anticipation_time=2, overlaying_time=2.2, voices_overlaying_time=3.5, glitter_attack_duration=infit.Gaussian(1.9, 0.15), glitter_release_duration=infit.Gaussian(1, 0.15), tremolo_maker_per_voice=( None, tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.2675, 0.11))), tremolo_volume_factor=0.48, ), tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.2675, 0.11))), tremolo_volume_factor=0.48, ), ), pteq_engine_per_voice=( pteq.mk_super_soft_leading_pte( empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.4), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), ), diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), percussion_engine_per_voice=(), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=False, radio_silent_channels=(0, 2, 4), radio_samples=(globals.SAM_RADIO_PROCESSED_DEGRADE[0], ), radio_n_changes=2, radio_average_volume=0.1, radio_shadow_time=0.08, radio_min_volume=0.955, ), segments.Chord( "{}_Bell2".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(2, 1), ji.r(5, 4)), group=(group, sub_group0, 2), chord=harmony.find_harmony(name="A", idx=0, gender=gender), gender=gender, n_bars=1, duration_per_bar=8, start=1, dynamic_range_of_voices=(0.34, 0.42), voices_entry_delay_per_voice=(0, 0.09, 0.05), anticipation_time=0, overlaying_time=0, pteq_engine_per_voice=( pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), speech_init_attributes={}, include_glitter=False, include_diva=False, include_natural_radio=False, include_percussion=False, ), )
def make(name: str = "ONE", gender=True, group=0, sub_group0=0): return ( segments.FreeStyleCP( "{}_0".format(name), ambitus_maker=ambitus.SymmetricalRanges( ji.r(4, 1), ji.r(12, 5), ji.r(9, 4) ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), energy_per_voice=(5.7, 9, 9), weight_range=(0.35, 1), decision_type="random", gender=gender, n_bars=2, duration_per_bar=11, start=0, dynamic_range_of_voices=(0.2, 0.6), anticipation_time=2.75, overlaying_time=3.25, cp_add_dissonant_pitches_to_nth_voice=(False, False, False), cp_constraints_interpolation=[], glitter_include_dissonant_pitches=False, pteq_engine_per_voice=( pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=(ornamentations.SoftLineGlissandoMaker(),), # convert_dissonant_tones2glissandi=True, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=(ornamentations.SoftLineGlissandoMaker(),), # convert_dissonant_tones2glissandi=True, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=(ornamentations.SoftLineGlissandoMaker(),), # convert_dissonant_tones2glissandi=True, ), ), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=False, radio_silent_channels=(1, 3, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=1, radio_average_volume=0.385, radio_shadow_time=0.2, radio_min_volume=0.925, ), segments.DensityBasedThreeVoiceCP( "{}_1".format(name), ambitus_maker=ambitus.SymmetricalRanges( ji.r(16, 5), ji.r(5, 2), ji.r(8, 5) ), group=(group, sub_group0, 1), start_harmony=harmony.find_harmony("A", True, 0, (0,), gender=gender), density_per_voice=(0, 0.6, 0.6), gender=gender, n_bars=1, duration_per_bar=10, start=1.25, dynamic_range_of_voices=(0.15, 0.45), anticipation_time=1.5, overlaying_time=1.5, cp_constraints_harmonic=( counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]), ), cp_constraints_interpolation=[], # cp_add_dissonant_pitches_to_nth_voice=(False, False, False), cp_add_dissonant_pitches_to_nth_voice=(True, True, True), pteq_engine_per_voice=( pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=( ornamentations.SoftLineGlissandoMaker( maxima_glissando_duration=0.35, maxima_glissando_size=180 ), ), convert_dissonant_tones2glissandi=True, ), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=( ornamentations.SoftLineGlissandoMaker( maxima_glissando_duration=0.35, maxima_glissando_size=180 ), ), convert_dissonant_tones2glissandi=True, ), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=( ornamentations.SoftLineGlissandoMaker( maxima_glissando_duration=0.35, maxima_glissando_size=180 ), ), convert_dissonant_tones2glissandi=True, ), ), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=False, radio_silent_channels=(1, 3, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=0, radio_average_volume=0.2, radio_shadow_time=0.175, radio_min_volume=0.875, glitter_include_dissonant_pitches=False, ), segments.DensityBasedThreeVoiceCP( "{}_2".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(6, 1), ji.r(5, 2), ji.r(9, 4)), group=(group, sub_group0, 2), start_harmony=harmony.find_harmony("A", True, 0, (0,), gender=gender), density_per_voice=(0.775, 1, 1), gender=gender, n_bars=3, duration_per_bar=7, start=4.5, dynamic_range_of_voices=(0.1, 0.2), anticipation_time=1.25, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(False, False, True), cp_constraints_harmonic=( counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]), ), cp_constraints_interpolation=[], glitter_include_dissonant_pitches=False, pteq_engine_per_voice=( pteq.mk_dreamy_pte( fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=( ornamentations.SoftLineGlissandoMaker( maxima_glissando_duration=0.35, maxima_glissando_size=180 ), ), ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0), modulator=( ornamentations.SoftLineGlissandoMaker( maxima_glissando_duration=0.35, maxima_glissando_size=180 ), ), ), ), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=True, percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Uniform(0.5, 2), distortion=infit.Uniform(0.05, 0.3), ), percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Uniform(0.5, 2), distortion=infit.Uniform(0.04, 0.5), ), ) ), likelihood_range=(0.1, 0.7), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1,), sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Uniform(0.5, 2), resonance_filter_frequency=infit.Uniform(5000, 9000), resonance_filter_bandwidth=infit.Uniform(200, 700), ), percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Uniform(0.5, 2), ), ) ), likelihood_range=(0.1, 0.7), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2,), sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Uniform(0.5, 2), resonance_filter_frequency=infit.Uniform(1000, 3000), resonance_filter_bandwidth=infit.Uniform(90, 200), ), percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Uniform(0.5, 2), resonance_filter_frequency=infit.Uniform(1000, 3000), resonance_filter_bandwidth=infit.Uniform(90, 200), ), ) ), likelihood_range=(0.1, 0.7), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), ), radio_silent_channels=(1, 3, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=1, radio_average_volume=0.285, radio_shadow_time=0.2, radio_min_volume=0.925, ), )
def __init__( self, voice_meters2occupy: tuple = (0, ), sample_maker: infit.InfIt = infit.Cycle(( Sample( path=infit.Cycle(globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((0.5, 2, 4, 1)), ), Sample( path=infit.Cycle(globals.SAM_KENDANG_LOW_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((0.5, 2, 4, 1)), ), Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE), frequency=globals.SAM_CYMBALS_BIG_AGGRESSIVE. information["frequency"], pitch_factor=infit.Uniform(0.4, 1.3), ), Sample( path=infit.Cycle(globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((0.5, 2, 4, 1)), ), )), likelihood_range: tuple = (0.79, 1), volume_range: tuple = (0.5, 1), seed: int = 100, chord: infit.InfIt = harmony.find_harmony(), ignore_beats_occupied_by_voice: bool = True, voices2ignore: tuple = None, octaves: tuple = tuple(range(-3, 4)), ): if voices2ignore is None: voices2ignore = voice_meters2occupy if type(chord) is tuple: chord = infit.Value(chord) elif isinstance(chord, infit.InfIt): pass else: msg = "Wrong type '{}' for chord '{}'.".format(type(chord), chord) raise TypeError(msg) self._voices2ignore = voices2ignore self._voice_meters2occupy = voice_meters2occupy self._sample_maker = sample_maker self._likelihood_range = likelihood_range self._volume_range = volume_range self._chord = chord self._ignore_beats_occupied_by_voice = ignore_beats_occupied_by_voice self._octaves = octaves import random random.seed(seed) self._random_module = random
def make(name: str = "ONE", gender=False, group=0, sub_group0=1): return ( segments.FreeStyleCP( "{}_chords0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1), ji.r(5, 4)), energy_per_voice=(6, 7, 7), weight_range=(0, 6), silence_decider_per_voice=( infit.ActivityLevel(0), infit.ActivityLevel(0), infit.ActivityLevel(0), ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=1, duration_per_bar=22, start=4, metrical_numbers=(12, 12, 12), dynamic_range_of_voices=(0.6, 0.8), anticipation_time=0.2, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(True, True, False), pteq_engine_per_voice=( pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), likelihood_range=(0.1, 0.6), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=True, seed=100, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), # likelihood_range=(0.1, 0.8), likelihood_range=(0, 0.1), volume_range=(0.1, 1), ignore_beats_occupied_by_voice=True, seed=1000, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle(globals.SAM_SPEECH_SPACE), pitch_factor=infit.Uniform(0.9, 1.2), ), percussion.Sample( path=infit.Cycle(globals.SAM_SPEECH_TIME), pitch_factor=infit.Uniform(0.9, 1.2), ), )), # likelihood_range=(1, 0.2), likelihood_range=(0, 0.1), volume_range=(0.1, 0.3), ignore_beats_occupied_by_voice=True, ), ), include_glitter=False, include_diva=False, include_natural_radio=False, include_percussion=False, radio_silent_channels=(1, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=2, radio_average_volume=0.1, radio_shadow_time=0.2, radio_min_volume=0.825, # speech_init_attributes={ # "speech0": { # "start": 5.85, # "duration": 22.5, # "sound_engine": speech.Sampler( # "pbIII/samples/speech/ghost_dance/ghost_dance_quote0_noise_reduction0.wav", # volume=0.58, # ), # }, # "speech2": { # "start": 3, # "duration": 37.5, # "sound_engine": speech.Sampler( # globals.SAM_SPEECH_IAN_CURTIS[2], volume=1 # ), # }, # }, ), segments.FreeStyleCP( "{}_chords1".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1), ji.r(5, 4)), energy_per_voice=(3, 2, 2), weight_range=(0, 6), silence_decider_per_voice=( infit.ActivityLevel(0), infit.ActivityLevel(0), infit.ActivityLevel(0), ), group=(group, sub_group0, 1), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=2, duration_per_bar=11, start=2, metrical_numbers=(6, 12, 18), dynamic_range_of_voices=(0.6, 0.8), anticipation_time=0.2, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(True, True, False), pteq_engine_per_voice=( pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.1)), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 0.5, 1, 0.25, 1)), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 1, 0.5, 1)), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), ), include_glitter=False, include_diva=False, include_natural_radio=False, include_percussion=True, radio_silent_channels=(1, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=2, radio_average_volume=0.1, radio_shadow_time=0.2, radio_min_volume=0.825, # speech_init_attributes={ # "speech0": { # "start": 5.85, # "duration": 22.5, # "sound_engine": speech.Sampler( # "pbIII/samples/speech/ghost_dance/ghost_dance_quote0_noise_reduction0.wav", # volume=0.58, # ), # }, # "speech2": { # "start": 3, # "duration": 37.5, # "sound_engine": speech.Sampler( # globals.SAM_SPEECH_IAN_CURTIS[2], volume=1 # ), # }, # }, ), )
def mk_bright_bell( preset: str = __STANDARD_PRESET, fxp: str = __STANDARD_FXP, sustain_pedal: int = 1, *args, **kwargs, ) -> type: return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches={ "impedance": infit.Uniform(1.7, 2.7), "cutoff": infit.Uniform(1.2, 2.3, seed=2), "q_factor": infit.Uniform(0.9, 1, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(3, 5), "hammer_noise": infit.Uniform(2, 3.0, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 1.6, "hammer_hard_mezzo": 1.95, "hammer_hard_forte": 2, "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "buff_stop_pedal": 0, "blooming_energy": infit.Uniform(0, 0.2), }, parameter_dissonant_pitches={ "impedance": infit.Uniform(2, 2.5), "cutoff": infit.Uniform(2, 2.3, seed=2), "q_factor": infit.Uniform(0.5, 1, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(3, 5), "hammer_noise": infit.Uniform(1, 3.0, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 1, "hammer_hard_mezzo": 1.65, "hammer_hard_forte": 2, "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "buff_stop_pedal": 0, "sound_speed": 500, "blooming_energy": infit.Uniform(1.55, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), }, *args, **kwargs, )
def make(name: str = "ONE", gender=True, group=0, sub_group0=0): return ( segments.MelodicCP( "{}_0".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(11, 1), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.4), ]), volume_envelope_per_track={ "voiceP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0.7), interpolations.FloatInterpolationEvent(6, 1.1), interpolations.FloatInterpolationEvent(2, 1.1), interpolations.FloatInterpolationEvent(0, 0.4), ]), "divaP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0.4), interpolations.FloatInterpolationEvent(6, 1), interpolations.FloatInterpolationEvent(2, 1), interpolations.FloatInterpolationEvent(0, 0), ]), "voiceP1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(0, 1), ]), "voiceP2": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(0, 1), ]), }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1), ji.r(5, 4)), random_seed=1000, group=(group, sub_group0, 0), action_per_voice=(0.94, 0.93), sound_per_voice=(0.89, 0.87), phrases=(0, ), melody_register=1, melodic_weight=0, weight_range=(0.3, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=13, start=0, dynamic_range_of_voices=(0.4, 0.75), anticipation_time=3, overlaying_time=2.2, voices_overlaying_time=3.5, glitter_attack_duration=infit.Gaussian(1.9, 0.15), glitter_release_duration=infit.Gaussian(1, 0.15), tremolo_maker_per_voice=( None, None, tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.2675, 0.11))), tremolo_volume_factor=0.48, ), ), pteq_engine_per_voice=( pteq.mk_super_soft_leading_pte( empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.4), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), ), diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle( (2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.85, 0.285), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(3, 5), resonance_filter_bandwidth=infit.Gaussian( 0.8, 0.5), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.6, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), speech_init_attributes={}, include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, radio_silent_channels=(1, 3, 5), tracks2ignore=("speech0", "speech1", "speech2"), radio_samples=( globals.SAM_RADIO_PROCESSED_DEGRADE[0], globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.45, radio_shadow_time=0.08, radio_min_volume=0.955, ), segments.MelodicCP( "{}_1".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(0.1, 0), interpolations.FloatInterpolationEvent(0, 1), ]), volume_envelope_per_track={ "voiceP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0.5), interpolations.FloatInterpolationEvent(18, 1), interpolations.FloatInterpolationEvent(5, 1), interpolations.FloatInterpolationEvent(0, 0), ]), "voiceP1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(21, 1), interpolations.FloatInterpolationEvent(6, 1), interpolations.FloatInterpolationEvent(3, 0.7), interpolations.FloatInterpolationEvent(0, 0.135), ]) }, diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 2), ji.r(3, 1), ji.r(5, 4)), random_seed=1000, group=(group, sub_group0, 1), action_per_voice=(0.94, 0.97), sound_per_voice=(0.96, 0.96), phrases=(1, 2), melody_register=1, melodic_weight=0, weight_range=(0.5, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=13, start=0.72, glitter_attack_duration=infit.Gaussian(1, 0.15), glitter_release_duration=infit.Gaussian(1, 0.15), dynamic_range_of_voices=(0.55, 0.9), anticipation_time=1, overlaying_time=1.5, voices_overlaying_time=4, tremolo_maker_per_voice=( None, tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.23, 0.12))), tremolo_volume_factor=0.39, ), tremolo.TremoloMaker( add_tremolo_decider=infit.ActivityLevel(6), tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Gaussian, (0.09, 0.03))), tremolo_volume_factor=0.42, ), ), pteq_engine_per_voice=( pteq.mk_super_soft_leading_pte( empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle( (2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.89, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="B", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(3, 5), resonance_filter_bandwidth=infit.Gaussian( 0.8, 0.5), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.8, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(0.8, 2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.7), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), speech_init_attributes={}, include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, radio_silent_channels=(1, 3), tracks2ignore=("speech0", "speech1", "speech2"), radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.4, radio_shadow_time=0.08, radio_min_volume=0.955, ), segments.Chord( "{}_CF_BELL_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1), ji.r(4, 3)), group=(group, sub_group0, 2), chord=harmony.find_harmony(name="A", gender=gender), gender=gender, n_bars=1, duration_per_bar=8, start=-0.75, dynamic_range_of_voices=(0.8, 1), anticipation_time=0.1, overlaying_time=0.25, voices_entry_delay_per_voice=(0, 0.05, 0.08), pteq_engine_per_voice=( pteq.mk_pianoteq_engine( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_pianoteq_engine( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_dreamy_pte( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), speech_init_attributes={}, glitter_type="drone", glitter_register_per_voice=(4, 5, 5), glitter_volume_per_voice=(0.85, 0.94, 0.95), glitter_modulater_per_voice=("lfo", "lfo", "lfo"), glitter_release_duration=7, glitter_attack_duration=0.2, radio_shadow_time=0, include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=False, ), segments.MelodicCP( "{}_2".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(0.1, 0), interpolations.FloatInterpolationEvent(24, 1), interpolations.FloatInterpolationEvent(3, 1), interpolations.FloatInterpolationEvent(2, 0.9), interpolations.FloatInterpolationEvent(0, 0.45), ]), volume_envelope_per_track={ "voiceP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0.65), interpolations.FloatInterpolationEvent(30, 0.8), interpolations.FloatInterpolationEvent(5, 0.8), interpolations.FloatInterpolationEvent(0, 0.1), ]) }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(8, 1), ji.r(3, 1), ji.r(2, 1)), random_seed=1000, group=(group, sub_group0, 2), action_per_voice=(0.82, 0.81), sound_per_voice=(0.75, 0.74), phrases=(3, 3), melody_register=1, melodic_weight=0, weight_range=(0.5, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=12.75, start=-3.5, dynamic_range_of_voices=(0.3, 0.5), anticipation_time=2, overlaying_time=3.2, voices_overlaying_time=4.5, pteq_engine_per_voice=( pteq.mk_super_soft_trippy_pte( modulator=(ornamentations.SoftLineGlissandoMaker( activity_lv=7, minima_glissando_duration=0.05, maxima_glissando_duration=0.1, minima_glissando_size=20, maxima_glissando_size=70, ), ), empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/Marimba_no_stretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/Marimba_no_stretching.fxp"', preset=None, sustain_pedal=0, ), ), diva_engine_per_voice=(diva.FlageoletDivaMidiEngine, None, None), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(0.8, 2), distortion=infit.Uniform(0, 1, seed=0), ), )), likelihood_range=(0.1, 0.2), volume_range=(0, 0.001), ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(0.7, 1.7), distortion=infit.Uniform(0, 2, seed=0), ), )), likelihood_range=(0.08, 0.55), volume_range=(0.54, 0.8), ignore_beats_occupied_by_voice=True, seed=39, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(0.4, 1), distortion=infit.Uniform(0.4, 1.8), ), )), likelihood_range=(0.1, 0.2), volume_range=(0, 0.01), ), ), speech_init_attributes={}, include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, radio_silent_channels=tuple([]), glitter_modulater_per_voice=("randomh", "randomh", "randomh"), glitter_attack_duration=infit.Gaussian(0.75, 0.15), glitter_release_duration=infit.Gaussian(1.8, 0.25), tracks2ignore=("speech0", "speech1", "speech2"), radio_samples=(globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_ITALY[-2]), radio_n_changes=4, radio_average_volume=0.4, radio_shadow_time=0.08, radio_min_volume=0.855, ), segments.Silence(name="{}_silence0".format(name), duration=11), )
class GenderSampleMaker(synthesis.BasedCsoundEngine): gender_samples_path = "aml/electronics/samples/gender/" original_gender_samples_path = "{}/original".format( gender_samples_path) adapted_gender_samples_path = "{}/adapted".format(gender_samples_path) # detect samples with their respective frequencies samples = {} for sample in os.listdir(original_gender_samples_path): if sample[-3:] == "wav": sample_name_without_ending = sample[:-4] sample_json_name = "{}.json".format(sample_name_without_ending) complete_sample_path = "{}/{}".format( original_gender_samples_path, sample) complete_sample_json_path = "{}/{}".format( original_gender_samples_path, sample_json_name) frequency = float( tuple( json.load(open(complete_sample_json_path, "r")).values())[0][0]) samples.update({frequency: complete_sample_path}) available_frequencies = tuple(sorted(samples.keys())) cname = ".gender_sample_maker" tail = 0.25 freq_used_counter = collections.Counter({freq: 0 for freq in samples}) sine_attack_maker = infit.Uniform(0.23, 0.58) sine_release_maker = infit.Uniform(1.8, 2.2) sine_amp_maker = infit.Uniform(0.075, 0.1) def __init__(self, index: int, frequency: float): closest_frequency = tools.find_closest_item( frequency, self.available_frequencies) second_closest_frequency = tools.find_closest_item( frequency, tuple(f for f in self.available_frequencies if f != closest_frequency), ) if (self.freq_used_counter[closest_frequency] <= self.freq_used_counter[second_closest_frequency]): choosen_frequency = closest_frequency else: choosen_frequency = second_closest_frequency print(frequency, choosen_frequency) self.freq_used_counter.update({choosen_frequency: 1}) self.choosen_sample = self.samples[choosen_frequency] self.pitch_factor = frequency / choosen_frequency self.frequency = frequency self.duration = pyo.sndinfo(self.choosen_sample)[1] + self.tail self.index = index self.bandwidth = 2 self.original_amp = 0.7 self.bp_amp = 0.0000009 self.lp_freq = 11000 @property def orc(self) -> str: lines = [ "0dbfs=1", "nchnls=2\n", "instr 1", "kvol0 linseg 0, {}, 1, 0.15, 0.4, {}, 0".format( next(self.sine_attack_maker), next(self.sine_release_maker)), "kvol1 linseg 0, {}, 1, 0.15, 0.4, {}, 0".format( next(self.sine_attack_maker), next(self.sine_release_maker)), "asine0 poscil3 {} * kvol0, {}".format( next(self.sine_amp_maker), self.frequency * 2), "asine1 poscil3 {} * kvol1, {}".format( next(self.sine_amp_maker), self.frequency * 2), 'asig0, asig1 diskin2 "{}", {}, 0, 0, 0, 4'.format( self.choosen_sample, self.pitch_factor), "afilteredsig0 butlp asig0, {}".format(self.lp_freq), "afilteredsig1 butlp asig1, {}".format(self.lp_freq), "afilteredsig0 buthp afilteredsig0, {}".format(self.frequency * 0.9), "afilteredsig1 buthp afilteredsig1, {}".format(self.frequency * 0.9), "abp0 reson asig0, {}, {}".format(self.frequency, self.bandwidth), "abp1 reson asig1, {}, {}".format(self.frequency, self.bandwidth), "outs (afilteredsig0 * {1}) + (abp0 * {0}) + asine0, (afilteredsig1 *" " {1}) + (abp1 * {0}) + asine1".format(self.bp_amp, self.original_amp), "endin\n", ] return "\n".join(lines) @property def sco(self) -> str: return "i1 0 {}".format(self.duration) def render(self): super().render("{}/{}".format(self.adapted_gender_samples_path, self.index))
def make(name: str = "ONE", gender=True, group=0, sub_group0=0): return ( segments.FreeStyleCP( "{}_3".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1), ji.r(5, 4)), energy_per_voice=(6, 6, 7), weight_range=(3, 10), silence_decider_per_voice=( infit.ActivityLevel(2), infit.ActivityLevel(1), infit.ActivityLevel(1), ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=1, duration_per_bar=12 * 3, start=0, metrical_numbers=(12, 12, 12), dynamic_range_of_voices=(0.1, 0.65), anticipation_time=1, overlaying_time=1.55, cp_add_dissonant_pitches_to_nth_voice=(True, True, True), cp_constraints_interpolation=[], glitter_include_dissonant_pitches=False, pteq_engine_per_voice=( pteq.mk_dreamy_pte( fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0.1), ), pteq.mk_dreamy_pte( fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0.1), ), pteq.mk_dreamy_pte( fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0,), likelihood_range=(0.1, 0.6), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=True, seed=100, ), percussion.Rhythmizer( voice_meters2occupy=(2,), sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_SPEECH_TIME), pitch_factor=infit.Uniform(0.9, 1.1), ), ) ), likelihood_range=(1, 0.2), volume_range=(0.1, 0.3), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2,), sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_SPEECH_SPACE), pitch_factor=infit.Uniform(0.9, 1.1), ), ) ), likelihood_range=(1, 0.2), volume_range=(0.1, 0.3), ignore_beats_occupied_by_voice=False, ), ), include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=True, radio_silent_channels=(1, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=2, radio_average_volume=0.385, radio_shadow_time=0.2, radio_min_volume=0.925, speech_init_attributes={}, ), )
def mk_soft_leading_overdrive_harp_pte( preset: str = __STANDARD_PRESET, fxp: str = __STANDARD_FXP, sustain_pedal: int = 1, *args, **kwargs, ) -> type: # stronger attack for leading melody return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches={ "impedance": infit.Uniform(1.2, 1.9), "cutoff": infit.Uniform(1.8, 2.2, seed=2), "q_factor": infit.Uniform(0.65, 1.1, seed=2), "direct_sound_duration": infit.Uniform(2, 4, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(1.5, 3.5), "hammer_noise": infit.Uniform(1.2, 2.2, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": infit.Uniform(1.24, 1.3), "hammer_hard_mezzo": infit.Uniform(1.44, 1.6), "hammer_hard_forte": infit.Uniform(1.6, 1.78), "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "buff_stop_pedal": infit.Cycle((0, 0, 0, 0, 1, 0, 0, 1)), "sound_speed": infit.Uniform(200, 500), "blooming_energy": infit.Uniform(0.2, 1), "blooming_inertia": infit.Uniform(0.15, 0.5), "celeste_pedal": 1, "soft_pedal": 1, "effect1_switch": 1, "effect1_param1": infit.Uniform(0.7, 0.9), "effect1_param2": infit.Uniform(0.4, 0.7), }, parameter_dissonant_pitches={ "impedance": infit.Uniform(1.5, 2.1), "cutoff": infit.Uniform(2, 2.4, seed=2), "q_factor": infit.Uniform(0.6, 0.9, seed=2), "direct_sound_duration": infit.Uniform(2, 4, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(1.5, 3.5), "hammer_noise": infit.Uniform(1.2, 2.2, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": infit.Uniform(1.14, 1.2), "hammer_hard_mezzo": infit.Uniform(1.34, 1.4), "hammer_hard_forte": infit.Uniform(1.5, 1.68), "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 1, "buff_stop_pedal": infit.Cycle((1, 1, 1, 0, 1)), "sound_speed": infit.Uniform(200, 500), "blooming_energy": infit.Uniform(1.55, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), "celeste_pedal": 1, "soft_pedal": 1, "effect1_switch": 1, "effect1_param1": infit.Uniform(0.7, 1), "effect1_param2": infit.Uniform(0, 0.2), }, *args, **kwargs, )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1): return ( segments.FreeStyleCP( "{}_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(9, 4), ji.r(16, 11)), decision_type="activity", energy_per_voice=(9, 7, 7), weight_range=(4, 10), metrical_numbers=(12, 9, 12), silence_decider_per_voice=( infit.ActivityLevel(2), infit.ActivityLevel(1), infit.ActivityLevel(2), ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=2, duration_per_bar=13, start=0, dynamic_range_of_voices=(0.2, 0.5), anticipation_time=0.01, overlaying_time=0.25, cp_add_dissonant_pitches_to_nth_voice=(True, True, True), glitter_include_dissonant_pitches=True, pteq_engine_per_voice=( pteq.mk_super_soft_trippy_pte( empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_dreamy_pte( # modulator=(ornamentations.SoftLineGlissandoMaker(),), convert_dissonant_tones2glissandi=True, empty_attack_dynamic_maker=infit.Value(0.2), ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.2), convert_dissonant_tones2glissandi=True, ), ), speech_init_attributes={}, percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle( (2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.5, 0.1), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(3, 5), resonance_filter_bandwidth=infit.Gaussian( 0.8, 0.5), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.6, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=True, voices_overlaying_time=5, radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.1, radio_shadow_time=0.01, radio_min_volume=0.825, ), segments.Chord( "{}_Bell2".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(12, 1), ji.r(2, 1), ji.r(15, 8)), group=(group, sub_group0, 1), chord=harmony.find_harmony(name="A", idx=0, gender=gender), gender=gender, n_bars=1, duration_per_bar=8, start=4, dynamic_range_of_voices=(0.7, 0.9), anticipation_time=0.2, overlaying_time=1.25, glitter_modulater_per_voice=("randomh", "randomh", "randomh"), pteq_engine_per_voice=( pteq.mk_bright_bell( fxp='"pbIII/fxp/Bells_no_stretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), # speech_init_attributes={ # # "speech0": { # # "start": 0.3, # # "duration": 12.5, # # "sound_engine": speech.Sampler( # # globals.SAM_RADIO_CAROLINA[1], volume=0.6 # # ), # # }, # # "speech2": { # # "start": -0.3, # # "duration": 12.5, # # "sound_engine": speech.Sampler( # # globals.SAM_RADIO_ROEHRENRADIO_CLOSE_MITTELWELLE[-1], volume=0.6 # # ), # # }, # }, include_glitter=False, include_diva=False, include_natural_radio=False, include_percussion=False, ), segments.FreeStyleCP( "{}_1".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(9, 4), ji.r(16, 11)), decision_type="activity", energy_per_voice=(9, 6, 7), weight_range=(4, 10), metrical_numbers=(13, 9, 13), silence_decider_per_voice=( infit.ActivityLevel(2), infit.ActivityLevel(1), infit.ActivityLevel(2), ), group=(group, sub_group0, 1), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=2, duration_per_bar=15, start=-3.8, dynamic_range_of_voices=(0.2, 0.4), anticipation_time=0.01, overlaying_time=0.25, cp_add_dissonant_pitches_to_nth_voice=(True, True, True), glitter_include_dissonant_pitches=True, pteq_engine_per_voice=( pteq.mk_super_soft_trippy_pte( empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_dreamy_pte( # modulator=(ornamentations.SoftLineGlissandoMaker(),), convert_dissonant_tones2glissandi=True, empty_attack_dynamic_maker=infit.Value(0.2), ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.2), convert_dissonant_tones2glissandi=True, ), ), speech_init_attributes={}, percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle( (2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.5, 0.1), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(3, 5), resonance_filter_bandwidth=infit.Gaussian( 0.8, 0.5), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.6, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), include_glitter=True, include_diva=False, include_natural_radio=True, include_percussion=True, voices_overlaying_time=5, radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.1, radio_shadow_time=0.01, radio_min_volume=0.825, ), )
def mk_super_soft_leading_pte( preset: str = __STANDARD_PRESET, fxp: str = __STANDARD_FXP, sustain_pedal: int = 1, *args, **kwargs, ) -> type: # stronger attack for leading melody return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches={ "impedance": infit.Uniform(1.9, 2.3), "cutoff": infit.Uniform(2.3, 2.6, seed=2), "q_factor": infit.Uniform(0.3, 0.6, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(2, 5), "hammer_noise": infit.Uniform(1.2, 2, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": infit.Uniform(0.14, 0.2), "hammer_hard_mezzo": infit.Uniform(0.24, 0.3), "hammer_hard_forte": infit.Uniform(0.34, 0.43), "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 1, "buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)), "sound_speed": infit.Uniform(200, 500), "blooming_energy": infit.Uniform(1.55, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), "celeste_pedal": 1, "soft_pedal": 1, }, parameter_dissonant_pitches={ "impedance": infit.Uniform(1.9, 2.3), "cutoff": infit.Uniform(2.3, 2.6, seed=2), "q_factor": infit.Uniform(0.3, 0.6, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(2, 5), "hammer_noise": infit.Uniform(0.2, 0.5, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": infit.Uniform(0.08, 0.12), "hammer_hard_mezzo": infit.Uniform(0.12, 0.23), "hammer_hard_forte": infit.Uniform(0.24, 0.33), "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 1, "buff_stop_pedal": 1, "sound_speed": infit.Uniform(200, 500), "celeste_pedal": 1, "soft_pedal": 1, }, *args, **kwargs, )
def mk_super_soft_trippy_pte( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal: int = 1, *args, **kwargs, ) -> type: # for glockenspiel return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches={ "unison_width": infit.Uniform(0, 20), "impedance": infit.Uniform(0.65, 1.8, seed=2), "cutoff": infit.Uniform(0.65, 2, seed=2), "q_factor": infit.Uniform(0.7, 1.8, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(1, 5), "hammer_noise": infit.Uniform(0.2, 1.5, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 0.1, "hammer_hard_mezzo": 0.2, "hammer_hard_forte": 0.3, "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "celeste_pedal": infit.Cycle((1, 0, 1, 1, 1, 0)), "soft_pedal": infit.Cycle((0, 1, 1, 0, 1)), "buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)), "sound_speed": 300, "blooming_energy": infit.Uniform(0.25, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), "condition": infit.Uniform(0, 10), "wall_distance": infit.Uniform(0, 6), "effect1_switch": infit.ActivityLevel(6), "effect1_param1": infit.Uniform(0.2, 0.4), "effect1_param2": infit.Uniform(0.25, 0.6), "mic_1_level_1": infit.Gaussian(-2, 4, seed=5), "mic_1_x_position": infit.Uniform(0, 0.25, seed=5), "mic_2_x_position": infit.Uniform(0.6, 1.45, seed=5), "mic_1_z_position": infit.Uniform(1.25, 2.8, seed=5), "mic_2_z_position": infit.Uniform(1.25, 2.8, seed=5), "mic_1_elevation": infit.Uniform(-180, 180, seed=5), "mic_2_elevation": infit.Uniform(-180, 180, seed=5), "mic_1_azimuth": infit.Uniform(-180, 180, seed=5), "mic_2_azimuth": infit.Uniform(-180, 180, seed=5), }, parameter_dissonant_pitches={ "unison_width": infit.Uniform(0, 20), "impedance": infit.Uniform(0.5, 1.5, seed=2), "cutoff": infit.Uniform(0.65, 2, seed=2), "q_factor": infit.Uniform(0.8, 2, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(2, 5), "hammer_noise": infit.Uniform(0.2, 3, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 0.1, "hammer_hard_mezzo": 0.2, "hammer_hard_forte": 0.3, "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "celeste_pedal": infit.Cycle((1, 0, 1, 1, 1, 0)), "soft_pedal": infit.Cycle((0, 1, 1, 0, 1)), "buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)), "sound_speed": infit.Uniform(200, 500, seed=0), "blooming_energy": infit.Uniform(0.25, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), "wall_distance": infit.Uniform(0, 6), "mic_1_z_position": infit.Uniform(1.25, 2), }, *args, **kwargs, )
def mk_super_dreamy_pte( preset: str = __STANDARD_PRESET, fxp: str = __STANDARD_FXP, sustain_pedal: int = 1, *args, **kwargs, ) -> type: return mk_pianoteq_engine( preset=preset, fxp=fxp, parameter_non_dissonant_pitches={ "impedance": infit.Uniform(2.5, 3), "cutoff": infit.Uniform(2.5, 3, seed=2), "q_factor": infit.Uniform(0.2, 0.4, seed=2), "direct_sound_duration": infit.Uniform(4, 5, seed=3), "string_length": infit.Uniform(8, 10), "sympathetic_resonance": infit.Uniform(2, 5), "hammer_noise": infit.Uniform(0.2, 1.0, seed=10), "sustain_pedal": sustain_pedal, "hammer_hard_piano": 0.3, "hammer_hard_mezzo": 0.55, "hammer_hard_forte": 0.785, "strike_point": infit.Uniform(1 / 64, 1 / 8), "pinch_harmonic_pedal": 0, "buff_stop_pedal": 0, "sound_speed": infit.Uniform(200, 500), "blooming_energy": infit.Uniform(1.55, 2), "blooming_inertia": infit.Uniform(1.55, 2.8), }, parameter_dissonant_pitches={ "impedance": infit.Uniform(2.2, 2.75), "cutoff": infit.Uniform(2, 2.5, seed=2), "q_factor": infit.Uniform(0.2, 1), "string_length": infit.Uniform(4, 7), "direct_sound_duration": infit.Uniform(2, 4, seed=3), "hammer_hard_piano": 0.3, "hammer_hard_mezzo": 0.4, "hammer_hard_forte": 0.6, "sustain_pedal": sustain_pedal, "sound_speed": infit.Uniform(200, 500), "sympathetic_resonance": infit.Uniform(1, 2), "pinch_harmonic_pedal": infit.Cycle((1, 0, 1)), "buff_stop_pedal": infit.Cycle((0, 1, 0, 1, 0)), "strike_point": infit.Uniform(1 / 64, 1 / 32), "hammer_noise": infit.Uniform(0.65, 1.25, seed=1000), "blooming_energy": 0, }, *args, **kwargs, )
def make(name: str = "ONE", gender=False, group=0, sub_group0=1): return (segments.MelodicCP( "{}_0".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(0.1, 0), interpolations.FloatInterpolationEvent(0, 1), ]), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(18, 1), interpolations.FloatInterpolationEvent(5, 1), interpolations.FloatInterpolationEvent(0, 0), ]) }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1), ji.r(4, 3)), random_seed=1000, group=(group, sub_group0, 0), action_per_voice=(0.74, 0.73), sound_per_voice=(0.85, 0.85), phrases=(0, 1), melody_register=0, melodic_weight=0, weight_range=(0.5, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=12, start=0, dynamic_range_of_voices=(0.5, 0.9), anticipation_time=0.7, overlaying_time=1.2, voices_overlaying_time=3.5, pteq_engine_per_voice=( pteq.mk_super_soft_pte( empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=0, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(1, 2), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Uniform(0.5, 2), ), percussion.Sample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Uniform(0.5, 2), ), percussion.Sample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_QUIET), pitch_factor=infit.Uniform(0.5, 2), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer(likelihood_range=(0, 0.1), volume_range=(0, 0)), percussion.Rhythmizer(likelihood_range=(0, 0.1), volume_range=(0, 0)), ), speech_init_attributes={}, include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, radio_silent_channels=tuple([]), tracks2ignore=("speech0", "speech1", "speech2"), radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.45, radio_shadow_time=0.08, radio_min_volume=0.955, ), )
def make(name: str = "THREE", gender=False, group=0, sub_group0=2): return ( segments.Chord( "{}_Bell0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(2, 1), ji.r(5, 4)), group=(group, sub_group0, 0), chord=harmony.find_harmony(name="A", idx=0, gender=gender), gender=gender, n_bars=1, duration_per_bar=5, start=-2, # start=0, dynamic_range_of_voices=(0.3, 0.4), voices_entry_delay_per_voice=(0.03, 0.07, 0.01), anticipation_time=4, overlaying_time=0, pteq_engine_per_voice=( pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), pteq.mk_bright_bell( fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, empty_attack_dynamic_maker=infit.Value(0), ), ), speech_init_attributes={}, volume_envelope_per_track={ "glitterN01": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(1, 0.5), interpolations.FloatInterpolationEvent(4, 1.1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN02": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(1, 0.5), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), "glitterN12": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(1, 0.5), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.1), ]), }, glitter_type="drone", glitter_wave_form_per_voice=("square", "sine", "sine"), glitter_register_per_voice=(3, 4, 4), glitter_volume_per_voice=(3.85, 4.5, 4.5), glitter_modulater_per_voice=(None, None, None), glitter_release_duration=4, glitter_attack_duration=4, include_glitter=True, include_diva=False, include_natural_radio=False, include_percussion=False, ), segments.FreeStyleCP( "{}_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(12, 5), ji.r(9, 5)), diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), group=(group, sub_group0, 0), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), energy_per_voice=(9, 10, 9), silence_decider_per_voice=( infit.ActivityLevel(2), infit.ActivityLevel(3), infit.ActivityLevel(3), ), weight_range=(5, 10), decision_type="activity", gender=gender, n_bars=3, duration_per_bar=12.75, start=-5, dynamic_range_of_voices=(0.175, 0.55), anticipation_time=2, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(False, True, True), cp_constraints_interpolation=( counterpoint.constraints.AP_tremolo( 0, add_tremolo_decider=infit.ActivityLevel(10), only_on_non_dissonant_pitches=False, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))), ), counterpoint.constraints.AP_tremolo( 1, add_tremolo_decider=infit.ActivityLevel(8), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))), ), counterpoint.constraints.AP_tremolo( 2, add_tremolo_decider=infit.ActivityLevel(8), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))), ), ), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(20, 1), interpolations.FloatInterpolationEvent(0, 1), ]) }, glitter_include_dissonant_pitches=False, voices_overlaying_time=2, pteq_engine_per_voice=( pteq.mk_soft_leading_overdrive_harp_pte( fxp='"pbIII/fxp/Harp_with_overdrive.fxp"', preset=None, sustain_pedal=1, modulator=(ornamentations.SoftLineGlissandoMaker(), ), ), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 2, 0.25, 1)), glissando_size=infit.Gaussian(0.8, 0.2), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.1, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)), glissando_size=infit.Gaussian(0.9, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.2, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)), glissando_size=infit.Gaussian(1.15, 0.2), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.3, 0.5), ), )), likelihood_range=(0.1, 0.7), volume_range=(0.3, 0.45), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)), distortion=infit.Uniform(0, 1), glissando_size=infit.Gaussian(1.15, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.25, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((1, 2, 0.25, 1)), distortion=infit.Uniform(0, 0.5), glissando_size=infit.Gaussian(0.9, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.25, 0.48), ), )), likelihood_range=(0.1, 0.655), volume_range=(0.45, 0.6), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(1.4, 2.75), distortion=infit.Uniform(0.3, 1), ), )), likelihood_range=(0.08, 0.26), volume_range=(0.54, 0.8), ignore_beats_occupied_by_voice=False, seed=39, ), ), speech_init_attributes={}, glitter_modulater_per_voice=(None, None, None), glitter_attack_duration=infit.Gaussian(1.9, 0.3), glitter_release_duration=infit.Gaussian(2, 0.2), include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, # radio_silent_channels=(0, 2, 4), radio_samples=( globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0], globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0], ), radio_n_changes=3, radio_average_volume=0.34, radio_shadow_time=0.02, radio_min_volume=0.7, radio_attack_duration=infit.Gaussian(2, 0.1), radio_release_duration=infit.Gaussian(5.2, 0.2), ), segments.FreeStyleCP( "{}_1".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 4), ji.r(8, 3), ji.r(9, 7)), diva_engine_per_voice=( diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, diva.FlageoletDivaMidiEngine, ), group=(group, sub_group0, 1), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), energy_per_voice=(8.5, 5, 6), silence_decider_per_voice=( infit.ActivityLevel(1), infit.ActivityLevel(1), infit.ActivityLevel(1), ), weight_range=(0.5, 1), decision_type="random", random_seed=1000, gender=gender, n_bars=2, duration_per_bar=12.5, start=0.33, dynamic_range_of_voices=(0.185, 0.88), anticipation_time=1.5, overlaying_time=1.25, cp_add_dissonant_pitches_to_nth_voice=(False, True, True), cp_constraints_interpolation=( counterpoint.constraints.AP_tremolo( 0, add_tremolo_decider=infit.ActivityLevel(10), only_on_non_dissonant_pitches=False, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))), ), counterpoint.constraints.AP_tremolo( 1, add_tremolo_decider=infit.ActivityLevel(9), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))), ), counterpoint.constraints.AP_tremolo( 2, add_tremolo_decider=infit.ActivityLevel(9), only_on_non_dissonant_pitches=True, define_tremolo_tones_as_dissonant=False, tremolo_size_generator_per_tone=infit.MetaCycle( (infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))), ), ), volume_envelope_per_track={ "voiceN0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(20, 1), interpolations.FloatInterpolationEvent(0, 1), ]) }, glitter_include_dissonant_pitches=False, voices_overlaying_time=2, pteq_engine_per_voice=( pteq.mk_soft_leading_overdrive_harp_pte( fxp='"pbIII/fxp/Harp_with_overdrive.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3), modulator=(ornamentations.SoftLineGlissandoMaker(), ), convert_dissonant_tones2glissandi=True, ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 2, 0.25, 1)), glissando_size=infit.Gaussian(0.8, 0.2), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.1, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)), glissando_size=infit.Gaussian(0.9, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.2, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)), glissando_size=infit.Gaussian(1.15, 0.2), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.3, 0.5), ), )), likelihood_range=(0.15, 0.9), volume_range=(0.3, 0.45), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)), distortion=infit.Uniform(0, 1), glissando_size=infit.Gaussian(1.15, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.25, 0.5), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((1, 2, 0.25, 1)), distortion=infit.Uniform(0, 0.5), glissando_size=infit.Gaussian(0.9, 0.1), glissando_offset=0, glissando_direction=True, glissando_duration=infit.Uniform(0.25, 0.48), ), )), likelihood_range=(0.15, 0.855), volume_range=(0.45, 0.6), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle((percussion.Sample( path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS), pitch_factor=infit.Uniform(1.4, 2.75), distortion=infit.Uniform(0.3, 1), ), )), likelihood_range=(0.08, 0.26), volume_range=(0.54, 0.8), ignore_beats_occupied_by_voice=False, seed=39, ), ), speech_init_attributes={}, glitter_modulater_per_voice=(None, None, None), glitter_attack_duration=infit.Gaussian(1.9, 0.3), glitter_release_duration=infit.Gaussian(2, 0.2), include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, # radio_silent_channels=(0, 2, 4), radio_samples=( globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0], globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0], ), radio_n_changes=5, radio_average_volume=0.4, radio_shadow_time=0.02, radio_min_volume=0.8, radio_attack_duration=infit.Gaussian(2, 0.1), radio_release_duration=infit.Gaussian(5.2, 0.2), ), )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1): return (segments.MelodicCP( "{}_0".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(11, 1), interpolations.FloatInterpolationEvent(4, 1), interpolations.FloatInterpolationEvent(0, 0.4), ]), volume_envelope_per_track={ "voiceP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0), interpolations.FloatInterpolationEvent(6, 1), interpolations.FloatInterpolationEvent(2, 1), interpolations.FloatInterpolationEvent(0, 0), ]), "divaP0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(4, 0), interpolations.FloatInterpolationEvent(6, 1), interpolations.FloatInterpolationEvent(2, 1), interpolations.FloatInterpolationEvent(0, 0), ]), "voiceP1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(0, 1), ]), "voiceP2": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(0, 1), ]), }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1), ji.r(5, 4)), random_seed=1000, group=(group, sub_group0, 0), action_per_voice=(0.94, 0.93), sound_per_voice=(0.85, 0.85), phrases=(0, ), melody_register=1, melodic_weight=0, weight_range=(0.3, 1), harmonicity_range=(0.25, 1), gender=gender, duration_per_bar=13, start=0, dynamic_range_of_voices=(0.4, 0.6), anticipation_time=2.7, overlaying_time=2.2, voices_overlaying_time=3.5, pteq_engine_per_voice=( pteq.mk_super_soft_pte( empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.4), ), pteq.mk_super_soft_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.3), fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"', preset=None, ), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.75, 0.225), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(3, 5), resonance_filter_bandwidth=infit.Gaussian(0.8, 0.5), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.6, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), speech_init_attributes={}, include_glitter=True, include_diva=True, include_natural_radio=True, include_percussion=True, radio_silent_channels=tuple([]), tracks2ignore=("speech0", "speech1", "speech2"), radio_samples=( globals.SAM_RADIO_ITALY[-1], globals.SAM_RADIO_BIELEFELD[-1], ), radio_n_changes=8, radio_average_volume=0.45, radio_shadow_time=0.08, radio_min_volume=0.955, ), )
def make(name: str = "ONE", gender=False, group=0, sub_group0=0): return ( # with activity level segments.FreeStyleCP( "{}_0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 2), ji.r(3, 1), ji.r(5, 4)), decision_type="activity", energy_per_voice=(7, 10, 6), weight_range=(4, 10), metrical_numbers=(12, 6, 18), silence_decider_per_voice=( infit.ActivityLevel(1), infit.ActivityLevel(1), infit.ActivityLevel(1), ), group=(group, sub_group0, 2), start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender), gender=gender, n_bars=3, duration_per_bar=10, start=2, dynamic_range_of_voices=(0.2, 0.45), anticipation_time=0.2, overlaying_time=0.25, cp_add_dissonant_pitches_to_nth_voice=(False, True, False), glitter_include_dissonant_pitches=True, pteq_engine_per_voice=( pteq.mk_super_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.2), fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"', preset=None, sustain_pedal=1, ), pteq.mk_dreamy_pte( modulator=(ornamentations.SoftLineGlissandoMaker(), ), empty_attack_dynamic_maker=infit.Value(0.2), ), pteq.mk_dreamy_pte( empty_attack_dynamic_maker=infit.Value(0.2)), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 0.5, 1, 0.25, 1)), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(2, ), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), distortion=infit.Uniform(0, 1), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET. information["frequency"], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_FAR_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND. information["frequency"], pitch_factor=infit.Cycle((1, 1, 0.5, 1)), ), )), likelihood_range=(0.3, 1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), ), speech_init_attributes={}, include_glitter=True, include_diva=False, include_natural_radio=True, voices_overlaying_time=5, radio_silent_channels=(1, 3, 5), radio_samples=( "pbIII/samples/radio/carolina/3.wav", "pbIII/samples/radio/carolina/1.wav", ), radio_n_changes=1, radio_average_volume=0.095, radio_shadow_time=0.085, radio_min_volume=0.825, ), )
], pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), ), ) ), # likelihood_range=(0.5, 1), likelihood_range=(1, 0.2), volume_range=(0.5, 1), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( sample_maker=infit.Cycle( ( percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(0.5, 1.2), ), percussion.Sample( path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(0.5, 1.2), ), ) ), likelihood_range=(0.3, 0), volume_range=(0.4, 0.2), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( sample_maker=infit.Cycle( ( percussion.Sample(
preset=None, ), pteq.mk_dreamy_pte( # modulator=(ornamentations.SoftLineGlissandoMaker(),), empty_attack_dynamic_maker=infit.Value(0.2)), pteq.mk_dreamy_pte( # modulator=(ornamentations.SoftLineGlissandoMaker(),), empty_attack_dynamic_maker=infit.Value(0.2)), ), percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), sample_maker=infit.Cycle((percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), resonance_filter_bandwidth=infit.Uniform(10, 20), resonance_filter_octave=infit.Cycle((1, 2, 1, 3, 0, 1, 2)), ), )), likelihood_range=(0.5, 0.8), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), sample_maker=infit.Cycle((percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)), resonance_filter_bandwidth=infit.Uniform(10, 20), resonance_filter_octave=infit.Cycle((1, 2, 1, 3, 0, 1, 2)), ), )), likelihood_range=(0.5, 1),
def make(name: str = "ONE", gender=False, group=0, sub_group0=1): return ( segments.Silence(name="{}_start_silence".format(name), duration=18), segments.Chord( "{}_Speech0".format(name), ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1), ji.r(4, 3)), group=(group, sub_group0, 0), chord=harmony.find_harmony(name="A", gender=gender), gender=gender, n_bars=1, duration_per_bar=34, start=0, dynamic_range_of_voices=(0.8, 1), anticipation_time=2.25, overlaying_time=3.25, speech_init_attributes={ "speech0": { "start": 0, "duration": 35, "sound_engine": speech.BrokenRadio( (globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,), duration=32, volume=0.42, activity_lv_per_effect={ "original": 8, "harmonizer": 6, "filter": 10, "noise": 10, "lorenz": 10, "chenlee": 6, }, level_per_effect={ "original": infit.Gaussian(0.4, 0.05), "filter": infit.Gaussian(10.2, 2.25), "harmonizer": infit.Gaussian(0.7, 0.15), "chenlee": infit.Gaussian(0.1, 0.02), "lorenz": infit.Gaussian(0.4, 0.02), "noise": infit.Gaussian(0.32, 0.04), }, transpo_maker=infit.Uniform(0.14, 0.8), filter_freq_maker=infit.Gaussian(110, 50), filter_q_maker=infit.Gaussian(5, 1), curve=interpolations.InterpolationLine( [ interpolations.FloatInterpolationEvent(0.25, 0.01), interpolations.FloatInterpolationEvent(0.8, 1), interpolations.FloatInterpolationEvent(0.3, 1), interpolations.FloatInterpolationEvent(0, 0.1), ] ), ), }, "speech1": { "start": 0.1, "duration": 35, "sound_engine": speech.BrokenRadio( (globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,), duration=32, volume=0.3, activity_lv_per_effect={ "original": 6, "harmonizer": 4, "filter": 9, "noise": 9, "lorenz": 8, "chenlee": 7, }, level_per_effect={ "original": infit.Gaussian(0.4, 0.05), "filter": infit.Gaussian(10.2, 2.25), "harmonizer": infit.Gaussian(0.7, 0.15), "chenlee": infit.Gaussian(0.1, 0.02), "lorenz": infit.Gaussian(0.4, 0.02), "noise": infit.Gaussian(0.32, 0.04), }, transpo_maker=infit.Uniform(1.14, 1.5), filter_freq_maker=infit.Gaussian(200, 50), filter_q_maker=infit.Gaussian(5, 1), curve=interpolations.InterpolationLine( [ interpolations.FloatInterpolationEvent(0.3, 0.01), interpolations.FloatInterpolationEvent(0.8, 1), interpolations.FloatInterpolationEvent(0.3, 1), interpolations.FloatInterpolationEvent(0, 0.1), ] ), ), }, "speech2": { "start": 0.075, "duration": 35, "sound_engine": speech.BrokenRadio( (globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,), duration=32, volume=0.34, activity_lv_per_effect={ "original": 6, "harmonizer": 4, "filter": 9, "noise": 9, "lorenz": 8, "chenlee": 7, }, level_per_effect={ "original": infit.Gaussian(0.4, 0.05), "filter": infit.Gaussian(10.2, 2.25), "harmonizer": infit.Gaussian(0.7, 0.15), "chenlee": infit.Gaussian(0.1, 0.02), "lorenz": infit.Gaussian(0.4, 0.02), "noise": infit.Gaussian(0.32, 0.04), }, transpo_maker=infit.Uniform(1.14, 1.5), filter_freq_maker=infit.Gaussian(200, 50), filter_q_maker=infit.Gaussian(5, 1), curve=interpolations.InterpolationLine( [ interpolations.FloatInterpolationEvent(0.4, 0.01), interpolations.FloatInterpolationEvent(0.8, 1), interpolations.FloatInterpolationEvent(0.3, 1), interpolations.FloatInterpolationEvent(0, 0.1), ] ), ), }, }, include_glitter=False, include_diva=False, include_natural_radio=False, include_percussion=False, include_voices=False, ), )
def make(name: str = "ONE", gender=True, group=0, sub_group0=0): return (segments.Chord( "{}_fadeIn".format(name), volume_envelope=interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(5, 0), interpolations.FloatInterpolationEvent(4, 0.35), interpolations.FloatInterpolationEvent(0.2, 1), interpolations.FloatInterpolationEvent(0, 1), ]), volume_envelope_per_track={ "percussion_P2": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(3, 0), interpolations.FloatInterpolationEvent(10, 0), interpolations.FloatInterpolationEvent(0, 1), ]), "percussion_P1": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(10, 0), interpolations.FloatInterpolationEvent(0, 1), ]), "percussion_P0": interpolations.InterpolationLine([ interpolations.FloatInterpolationEvent(2, 0), interpolations.FloatInterpolationEvent(10, 0), interpolations.FloatInterpolationEvent(0, 1), ]), }, ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1), ji.r(9, 8)), group=(group, sub_group0, 0), chord=harmony.find_harmony(name="A", gender=gender), gender=gender, n_bars=1, duration_per_bar=14, start=0, dynamic_range_of_voices=(0.8, 0.9), anticipation_time=1.25, overlaying_time=1.25, percussion_engine_per_voice=( percussion.Rhythmizer( voice_meters2occupy=(0, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE), pitch_factor=infit.Uniform(2, 6), resonance_filter_bandwidth=infit.Uniform(0.4, 2), resonance_filter_octave=infit.Cycle( (2, 4, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE), pitch_factor=infit.Uniform(2, 5), resonance_filter_bandwidth=infit.Uniform(0.5, 2), resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.5, 0.1), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(1, ), chord=infit.Cycle(( harmony.find_harmony(name="A", gender=gender), harmony.find_harmony(name="C", gender=gender), )), sample_maker=infit.Cycle(( percussion.ResonanceSample( path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE), pitch_factor=infit.Gaussian(4, 6), resonance_filter_bandwidth=infit.Gaussian(0.4, 0.3), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.3), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.2), ), percussion.ResonanceSample( path=infit.Cycle( globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD), pitch_factor=infit.Gaussian(3, 4), resonance_filter_bandwidth=infit.Uniform(0.5, 1), resonance_filter_octave=infit.Cycle((2, )), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=0, glissando_size=infit.Gaussian(1, 0.1), ), )), likelihood_range=(0.6, 0.1), volume_range=(0.1, 0.8), ignore_beats_occupied_by_voice=False, ), percussion.Rhythmizer( voice_meters2occupy=(0, 1, 2), chord=infit.Cycle((harmony.find_harmony(name="B", gender=gender), )), sample_maker=infit.Cycle(( percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((2, 4, 8, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 4, 2, 4)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), percussion.Sample( path=infit.Cycle( globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND), frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND. information["frequency"], pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)), glissando_direction=True, glissando_duration=infit.Uniform(0.001, 0.2), glissando_offset=infit.Uniform(0, 0.1), glissando_size=infit.Gaussian(1, 0.2), ), )), likelihood_range=(0.1, 0.5), volume_range=(0.1, 0.5), ignore_beats_occupied_by_voice=False, ), ), radio_samples=( globals.SAM_RADIO_PROCESSED_DEGRADE[0], globals.SAM_RADIO_BIELEFELD[-1], ), radio_average_volume=0.75, radio_min_volume=0.955, speech_init_attributes={}, include_glitter=False, include_diva=False, include_natural_radio=True, include_percussion=True, include_voices=False, ), )