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implement fcpe
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icecoins committed Jan 11, 2024
1 parent 8e42927 commit fbf69cd
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44 changes: 44 additions & 0 deletions server/voice_changer/RVC/pitchExtractor/FcpePitchExtractor.py
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import numpy as np
from const import PitchExtractorType
from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
from voice_changer.RVC.pitchExtractor.PitchExtractor import PitchExtractor
import torchfcpe

class FcpePitchExtractor(PitchExtractor):

def __init__(self, gpu: int):
super().__init__()
self.pitchExtractorType: PitchExtractorType = "fcpe"
self.device = DeviceManager.get_instance().getDevice(gpu)
self.fcpe = torchfcpe.spawn_bundled_infer_model(self.device)

# I merge the code of Voice-Changer-CrepePitchExtractor and RVC-fcpe-infer, sry I don't know how to optimize the function.
def extract(self, audio, pitchf, f0_up_key, sr, window, silence_front=0):
start_frame = int(silence_front * sr / window)
real_silence_front = start_frame * window / sr

silence_front_offset = int(np.round(real_silence_front * sr))
audio = audio[silence_front_offset:]

f0_min = 50
f0_max = 1100
f0_mel_min = 1127 * np.log(1 + f0_min / 700)
f0_mel_max = 1127 * np.log(1 + f0_max / 700)

f0 = self.fcpe.infer(
audio.to(self.device_fcpe).unsqueeze(0).float(),
sr=16000,
decoder_mode="local_argmax",
threshold=0.006,
)
f0 = f0.squeeze()

f0 *= pow(2, f0_up_key / 12)
pitchf[-f0.shape[0]:] = f0.detach().cpu().numpy()[:pitchf.shape[0]]
f0bak = pitchf.copy()
f0_mel = 1127.0 * np.log(1.0 + f0bak / 700.0)
f0_mel = np.clip(
(f0_mel - f0_mel_min) * 254.0 / (f0_mel_max - f0_mel_min) + 1.0, 1.0, 255.0
)
pitch_coarse = f0_mel.astype(int)
return pitch_coarse, pitchf

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