| | |
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| | | model = AutoModel(model="iic/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online") |
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| | | |
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| | | wav_file = os.path.join(model.model_path, "example/asr_example.wav") |
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| | | res = model.generate(input=wav_file, |
|---|
| | | res = model.generate( |
|---|
| | | input=wav_file, |
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| | | chunk_size=chunk_size, |
|---|
| | | encoder_chunk_look_back=encoder_chunk_look_back, |
|---|
| | | decoder_chunk_look_back=decoder_chunk_look_back, |
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| | |
|---|
| | | for i in range(total_chunk_num): |
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| | | speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride] |
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| | | is_final = i == total_chunk_num - 1 |
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| | | res = model.generate(input=speech_chunk, |
|---|
| | | res = model.generate( |
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| | | input=speech_chunk, |
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| | | cache=cache, |
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| | | is_final=is_final, |
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| | | chunk_size=chunk_size, |
|---|
