def afraid_patch(sampleFrequency, speed, depth, utterance_begin):
filenamein = "/home/dereje/Desktop/TestFolder/Test.wav"
filenameout = "/home/dereje/Desktop/TestFolder/TestAfraid.wav"
start_time = [0.001, 0.111862, 0.223777, 0.348351]
end_time = [0.111862, 0.223777, 0.348351, 0.500]
start_time = np.asarray(start_time)
end_time = np.asarray(end_time)
utterance_begin = np.asarray(utterance_begin)
n_bend = len(utterance_begin[0])
cents = [120, -200, 8, 200]
inflect_start_times = utterance_begin[np.arange(
len(utterance_begin))] + start_time
inflect_end_times = utterance_begin[np.arange(
len(utterance_begin))] + end_time
inflect_start_times = inflect_start_times.tolist()
inflect_end_times = inflect_end_times.tolist()
afraid_patch = Transformer()
afraid_patch.tremolo(speed, depth)
afraid_patch.bend(n_bend, inflect_start_times[0], inflect_end_times[0],
cents)
afraid_patch.build(filenamein, filenameout)
return afraid_patch
def happy_patch(sampleFrequency, n_semitones, Qfactor, Gain, utterance_begin):
filenamein = "/home/dereje/Desktop/TestFolder/Test.wav"
filenameout = "/home/dereje/Desktop/TestFolder/TestHappy.wav"
start_time = [0.001, 0.058511, 0.255319, 0.401596]
end_time = [0.058511, 0.255319, 0.401596, 0.500]
start_time = np.asarray(start_time)
end_time = np.asarray(end_time)
utterance_begin = np.asarray(utterance_begin)
n_bend = len(utterance_begin[0])
cents = [-200, +140, 82.667, 0.001]
happy_patch = Transformer()
inflect_start_times = utterance_begin[np.arange(
len(utterance_begin))] + start_time
inflect_end_times = utterance_begin[np.arange(
len(utterance_begin))] + end_time
inflect_start_times = inflect_start_times.tolist()
inflect_end_times = inflect_end_times.tolist()
if (sampleFrequency <= 16000):
cutFreq = sampleFrequency / 2
happy_patch.pitch(n_semitones, False)
happy_patch.bend(n_bend, inflect_start_times[0], inflect_end_times[0],
cents)
happy_patch.equalizer(cutFreq, Qfactor, Gain)
happy_patch.build(filenamein, filenameout)
else:
cutFreq = 8000
happy_patch.pitch(n_semitones, False)
happy_patch.bend(n_bend, inflect_start_times[0], inflect_end_times[0],
cents)
happy_patch.equalizer(cutFreq, Qfactor, Gain)
happy_patch.build(filenamein, filenameout)
return happy_patch
def sad_sox_init(semitones, gain, CUTFREQ, output_file_path):
CUTFREQ = 3500
patch = Transformer()
patch.pitch(semitones, False)
patch.tempo(0.95, 's')
patch.treble(gain, CUTFREQ, 0.5)
patch.build(FILE_NAME_PATH, output_file_path)
return patch
def afraid_sox_init(speed,depth,number_of_bends,start_time_now,end_time_now,cents,filenameout): patch = Transformer() patch.tremolo(speed,depth) patch.tempo(1.05,'s') patch.gain(1.1) #patch.bend(number_of_bends,start_time_now,end_time_now,cents,50) patch.build(FILE_NAME_PATH,filenameout) return patch
def happy_tensed_sox_init(filenameout,semitones,number_of_bends,start_time_now,end_time_now,cents,CUTFREQ,gain,QFACTOR): patch = Transformer() patch.pitch(semitones,False) patch.tempo(1.18,'s') patch.gain(gain) #patch.bend(number_of_bends,start_time_now,end_time_now,cents,50) patch.treble(gain,CUTFREQ,0.5) patch.equalizer(CUTFREQ,QFACTOR,gain) patch.build(FILE_NAME_PATH,filenameout) return patch
def happy_sox_init(output_file_path, semitones, number_of_bends,
start_time_now, end_time_now, cents, CUTFREQ, gain,
QFACTOR):
patch = Transformer()
patch.pitch(semitones, False)
patch.tempo(1.1, 's')
patch.gain(2.0)
#patch.bend(number_of_bends,start_time_now,end_time_now,cents,50)
patch.treble(gain, CUTFREQ, 0.5)
patch.equalizer(CUTFREQ, QFACTOR, gain)
print FILE_NAME_PATH
print output_file_path
patch.build(FILE_NAME_PATH, output_file_path)
return patch
def sad_patch(sampleFrequency, n_semitones, Qfactor, Gain):
filenamein = "/home/dereje/Desktop/TestFolder/Test.wav"
filenameout = "/home/dereje/Desktop/TestFolder/TestSad.wav"
sad_patch = Transformer()
if (sampleFrequency <= 16000):
cutFreq = sampleFrequency / 2.5
sad_patch.pitch(n_semitones, False)
sad_patch.equalizer(cutFreq, Qfactor, Gain)
sad_patch.build(filenamein, filenameout)
else:
cutFreq = 8000
sad_patch.pitch(n_semitones, False)
sad_patch.equalizer(cutFreq, Qfactor, Gain)
sad_patch.build(filenamein, filenameout)
return sad_patch