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fix issue https://github.com/RVC-Boss/GPT-SoVITS/issues/1419
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RVC-Boss
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commit
bf289e030d
@ -42,46 +42,47 @@ def execute_asr(input_folder, output_folder, model_size, language):
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print(f"ASR 任务完成->标注文件路径: {output_file_path}\n")
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print(f"ASR 任务完成->标注文件路径: {output_file_path}\n")
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return output_file_path
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return output_file_path
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parser = argparse.ArgumentParser()
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parser.add_argument("-i", "--input_folder", type=str, required=True,
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help="Path to the folder containing WAV files.")
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parser.add_argument("-o", "--output_folder", type=str, required=True,
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help="Output folder to store transcriptions.")
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parser.add_argument("-s", "--model_size", type=str, default='large',
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help="Model Size of FunASR is Large")
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parser.add_argument("-l", "--language", type=str, default='zh', choices=['zh','yue','auto'],
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help="Language of the audio files.")
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parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'],
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help="fp16 or fp32")#还没接入
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cmd = parser.parse_args()
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path_vad = 'tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch'
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path_punc = 'tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch'
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path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
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path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
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vad_model_revision=punc_model_revision="v2.0.4"
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if(cmd.language=="zh"):
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path_asr = 'tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
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path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
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model_revision="v2.0.4"
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else:
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path_asr = 'tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online'
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path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
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model_revision="master"
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path_vad=path_punc=vad_model_revision=punc_model_revision=None###友情提示：粤语带VAD识别可能会有少量shape不对报错的，但是不带VAD可以.不带vad只能分阶段单独加标点。不过标点模型对粤语效果真的不行…
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model = AutoModel(
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model=path_asr,
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model_revision=model_revision,
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vad_model=path_vad,
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vad_model_revision=vad_model_revision,
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punc_model=path_punc,
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punc_model_revision=punc_model_revision,
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)
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if __name__ == '__main__':
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument("-i", "--input_folder", type=str, required=True,
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help="Path to the folder containing WAV files.")
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parser.add_argument("-o", "--output_folder", type=str, required=True,
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help="Output folder to store transcriptions.")
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parser.add_argument("-s", "--model_size", type=str, default='large',
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help="Model Size of FunASR is Large")
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parser.add_argument("-l", "--language", type=str, default='zh', choices=['zh','yue'],
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help="Language of the audio files.")
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parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'],
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help="fp16 or fp32")#还没接入
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cmd = parser.parse_args()
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path_vad = 'tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch'
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path_punc = 'tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch'
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path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch"
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path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch"
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vad_model_revision=punc_model_revision="v2.0.4"
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if(cmd.language=="zh"):
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path_asr = 'tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
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path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
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model_revision="v2.0.4"
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else:
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path_asr = 'tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online'
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path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
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model_revision="master"
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path_vad=path_punc=vad_model_revision=punc_model_revision=None###友情提示：粤语带VAD识别可能会有少量shape不对报错的，但是不带VAD可以.不带vad只能分阶段单独加标点。不过标点模型对粤语效果真的不行…
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model = AutoModel(
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model=path_asr,
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model_revision=model_revision,
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vad_model=path_vad,
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vad_model_revision=vad_model_revision,
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punc_model=path_punc,
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punc_model_revision=punc_model_revision,
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)
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execute_asr(
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execute_asr(
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input_folder = cmd.input_folder,
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input_folder = cmd.input_folder,
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output_folder = cmd.output_folder,
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output_folder = cmd.output_folder,
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