mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-24 22:15:02 +03:00
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
|
import torchcrepe
|
||
|
|
import torch
|
||
|
|
import numpy as np
|
||
|
|
from const import PitchExtractorType
|
||
|
|
|
||
|
|
from voice_changer.RVC.pitchExtractor.PitchExtractor import PitchExtractor
|
||
|
|
|
||
|
|
|
||
|
|
class CrepePitchExtractor(PitchExtractor):
|
||
|
|
|
||
|
|
def __init__(self):
|
||
|
|
super().__init__()
|
||
|
|
self.pitchExtractorType: PitchExtractorType = "crepe"
|
||
|
|
if torch.cuda.is_available():
|
||
|
|
self.device = torch.device("cuda:" + str(torch.cuda.current_device()))
|
||
|
|
else:
|
||
|
|
self.device = torch.device("cpu")
|
||
|
|
|
||
|
|
def extract(self, audio, pitchf, f0_up_key, sr, window, silence_front=0):
|
||
|
|
n_frames = int(len(audio) // window) + 1
|
||
|
|
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, pd = torchcrepe.predict(
|
||
|
|
audio.unsqueeze(0),
|
||
|
|
sr,
|
||
|
|
hop_length=window,
|
||
|
|
fmin=f0_min,
|
||
|
|
fmax=f0_max,
|
||
|
|
# model="tiny",
|
||
|
|
model="full",
|
||
|
|
batch_size=256,
|
||
|
|
decoder=torchcrepe.decode.weighted_argmax,
|
||
|
|
device=self.device,
|
||
|
|
return_periodicity=True,
|
||
|
|
)
|
||
|
|
f0 = torchcrepe.filter.median(f0, 3) # 本家だとmeanですが、harvestに合わせmedianフィルタ
|
||
|
|
pd = torchcrepe.filter.median(pd, 3)
|
||
|
|
f0[pd < 0.1] = 0
|
||
|
|
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
|