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,
), )
