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https://github.com/FunAudioLLM/SenseVoice.git
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sensevoice
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@ -160,13 +160,13 @@ m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir)
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res = m.inference(
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res = m.inference(
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data_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
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data_in=f"{kwargs['model_path']}/example/en.mp3",
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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use_itn=False,
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use_itn=False,
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**kwargs,
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**kwargs,
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)
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)
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text = rich_transcription_postprocess(res[0]["text"])
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text = rich_transcription_postprocess(res[0][0]["text"])
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print(text)
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print(text)
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```
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```
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@ -164,13 +164,13 @@ m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir)
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res = m.inference(
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res = m.inference(
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data_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
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data_in=f"{kwargs['model_path']}/example/en.mp3",
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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use_itn=False,
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use_itn=False,
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**kwargs,
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**kwargs,
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)
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)
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text = rich_transcription_postprocess(res[0]["text"])
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text = rich_transcription_postprocess(res[0][0]["text"])
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print(text)
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print(text)
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```
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```
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4
demo2.py
4
demo2.py
@ -12,11 +12,11 @@ m, kwargs = SenseVoiceSmall.from_pretrained(model=model_dir)
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res = m.inference(
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res = m.inference(
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data_in=f"{m.model_path}/example/en.mp3",
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data_in=f"{kwargs['model_path']}/example/en.mp3",
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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language="auto", # "zn", "en", "yue", "ja", "ko", "nospeech"
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use_itn=False,
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use_itn=False,
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**kwargs,
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**kwargs,
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)
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)
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text = rich_transcription_postprocess(res[0]["text"])
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text = rich_transcription_postprocess(res[0][0]["text"])
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print(text)
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print(text)
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