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修复web界面vc模式不能用问题。改拼写错误、给字符串前加f标 (#790)
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@ -18,7 +18,7 @@ import matplotlib.pyplot as plt
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# Constants
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# Constants
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AUDIO_SAMPLES_DIR = f'sample{os.sep}'
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AUDIO_SAMPLES_DIR = f'samples{os.sep}'
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EXT_MODELS_DIRT = f'ppg_extractor{os.sep}saved_models'
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EXT_MODELS_DIRT = f'ppg_extractor{os.sep}saved_models'
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CONV_MODELS_DIRT = f'ppg2mel{os.sep}saved_models'
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CONV_MODELS_DIRT = f'ppg2mel{os.sep}saved_models'
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VOC_MODELS_DIRT = f'vocoder{os.sep}saved_models'
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VOC_MODELS_DIRT = f'vocoder{os.sep}saved_models'
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@ -134,7 +134,7 @@ def convert(input: Input) -> Output:
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# Import necessary dependency of Voice Conversion
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# Import necessary dependency of Voice Conversion
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from utils.f0_utils import compute_f0, f02lf0, compute_mean_std, get_converted_lf0uv
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from utils.f0_utils import compute_f0, f02lf0, compute_mean_std, get_converted_lf0uv
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ref_lf0_mean, ref_lf0_std = compute_mean_std(f02lf0(compute_f0(ref_wav)))
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ref_lf0_mean, ref_lf0_std = compute_mean_std(f02lf0(compute_f0(ref_wav)))
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speacker_encoder.load_model(Path("encoder{os.sep}saved_models{os.sep}pretrained_bak_5805000.pt"))
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speacker_encoder.load_model(Path(f"encoder{os.sep}saved_models{os.sep}pretrained_bak_5805000.pt"))
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embed = speacker_encoder.embed_utterance(ref_wav)
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embed = speacker_encoder.embed_utterance(ref_wav)
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lf0_uv = get_converted_lf0uv(src_wav, ref_lf0_mean, ref_lf0_std, convert=True)
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lf0_uv = get_converted_lf0uv(src_wav, ref_lf0_mean, ref_lf0_std, convert=True)
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min_len = min(ppg.shape[1], len(lf0_uv))
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min_len = min(ppg.shape[1], len(lf0_uv))
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