Build Training Data for Deep Pitches

deep-pitches-build-training-data.py

for octave in range(2, 8):
    random.shuffle(GM_PATCHES)
    for patch in range(0, 15):
        program = GM_PATCHES[patch]
        for key in Note.names:
            sample = Sample("samples/note-%s%s-P%s" % (key, octave, program),
                            program=program, key=key, octave=octave)
            sample.make_wav()
            for pitch_shift_hz in np.concatenate((np.array([0]), np.random.randint(10, 80, 5))):
                sample.transform_wav(
                    "attack", duration=0.33, pitch_shift_hz=pitch_shift_hz)
                sample.transform_wav(
                    "sustain", start_s=0.33, duration=0.33, pitch_shift_hz=pitch_shift_hz)
                sample.transform_wav(
                    "decay", start_s=0.66, duration=0.33, pitch_shift_hz=pitch_shift_hz)

            sample.clean()