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49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import pyworld
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import numpy as np
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import scipy.signal as signal
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from const import EnumPitchExtractorTypes
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from voice_changer.RVC.pitchExtractor.PitchExtractor import PitchExtractor
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class HarvestPitchExtractor(PitchExtractor):
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pitchExtractorType: EnumPitchExtractorTypes = EnumPitchExtractorTypes.harvest
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def extract(self, audio, pitchf, f0_up_key, sr, window, silence_front=0):
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audio = audio.detach().cpu().numpy()
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n_frames = int(len(audio) // window) + 1
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start_frame = int(silence_front * sr / window)
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real_silence_front = start_frame * window / sr
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silence_front_offset = int(np.round(real_silence_front * sr))
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audio = audio[silence_front_offset:]
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f0_min = 50
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f0_max = 1100
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f0_mel_min = 1127 * np.log(1 + f0_min / 700)
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f0_mel_max = 1127 * np.log(1 + f0_max / 700)
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f0, t = pyworld.harvest(
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audio.astype(np.double),
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fs=sr,
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f0_ceil=f0_max,
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frame_period=10,
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)
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f0 = pyworld.stonemask(audio.astype(np.double), f0, t, sr)
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f0 = signal.medfilt(f0, 3)
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# f0 = np.pad(f0.astype("float"), (start_frame, n_frames - len(f0) - start_frame))
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f0 *= pow(2, f0_up_key / 12)
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pitchf[-f0.shape[0]:] = f0[:pitchf.shape[0]]
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f0bak = pitchf.copy()
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f0_mel = 1127 * np.log(1 + f0bak / 700)
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f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - f0_mel_min) * 254 / (
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f0_mel_max - f0_mel_min
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) + 1
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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pitch_coarse = np.rint(f0_mel).astype(int)
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return pitch_coarse, pitchf
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