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from funasr import AutoModel
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from funasr.utils.postprocess_utils import rich_transcription_postprocess
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model_dir = "./"
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# ASR部分用的阿里的开源funasr, 即fun-asr, github地址:
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# https://github.com/modelscope/FunASR
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model = AutoModel(
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model=model_dir,
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vad_model="fsmn-vad",
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vad_kwargs={"max_single_segment_time": 30000},
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# 注释掉此句的话，可以使用CPU进行识别，不再使用GPU
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# device="cuda:0",
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hub="hf",
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)
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# en
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res = model.generate(
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input=f"{model.model_path}/example/en.mp3",
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cache={},
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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use_itn=True,
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batch_size_s=60,
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merge_vad=True, #
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merge_length_s=15,
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)
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# 把转出来的文字做了一个合理化的后处理, 比如去掉一些标点符号, 明显不合理的句子等等.
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text = rich_transcription_postprocess(res[0]["text"])
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print(text)
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