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46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
import numpy as np
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from const import PitchExtractorType
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from voice_changer.DiffusionSVC.pitchExtractor.PitchExtractor import PitchExtractor
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from voice_changer.DiffusionSVC.pitchExtractor.rmvpe.rmvpe import RMVPE
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from voice_changer.RVC.deviceManager.DeviceManager import DeviceManager
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class RMVPEPitchExtractor(PitchExtractor):
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def __init__(self, file: str, gpu: int):
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super().__init__()
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self.pitchExtractorType: PitchExtractorType = "rmvpe"
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self.f0_min = 50
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self.f0_max = 1100
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self.f0_mel_min = 1127 * np.log(1 + self.f0_min / 700)
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self.f0_mel_max = 1127 * np.log(1 + self.f0_max / 700)
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self.uv_interp = True
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self.input_sr = -1
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self.device = DeviceManager.get_instance().getDevice(gpu)
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self.rmvpe = RMVPE(model_path=file, is_half=False, device=self.device)
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def extract(self, audio, pitchf, f0_up_key, sr, window, silence_front=0):
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hop_size = 160 # RMVPE固定
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offset_frame_number = silence_front * 16000
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start_frame = int(offset_frame_number / hop_size) # frame
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real_silence_front = start_frame * hop_size / 16000 # 秒
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audio = audio[int(np.round(real_silence_front * 16000)):]
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f0 = self.rmvpe.infer_from_audio_t(audio, thred=0.03)
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f0 = f0 * 2 ** (float(f0_up_key) / 12)
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pitchf[-f0.shape[0]:] = f0[:pitchf.shape[0]]
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f0 = pitchf
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f0bak = f0.copy()
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f0_mel = 1127 * np.log(1 + f0 / 700)
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f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - self.f0_mel_min) * 254 / (
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self.f0_mel_max - self.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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f0_coarse = np.rint(f0_mel).astype(int)
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return f0_coarse, f0bak
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