| | |
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| | | print(rec_result) |
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| | | ``` |
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| | | |
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| | | #### API-docs |
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| | | ##### define pipeline |
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| | | - `task`: `Tasks.auto_speech_recognition` |
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| | | - `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk |
|---|
| | | - `ngpu`: 1 (Defalut), decoding on GPU. If ngpu=0, decoding on CPU |
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| | | - `ncpu`: 1 (Defalut), sets the number of threads used for intraop parallelism on CPU |
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| | | - `output_dir`: None (Defalut), the output path of results if set |
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| | | - `batch_size`: 1 (Defalut), batch size when decoding |
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| | | ##### infer pipeline |
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| | | - `audio_in`: the input to decode, which could be: |
|---|
| | | - wav_path, `e.g.`: asr_example.wav, |
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| | | - pcm_path, |
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| | | - audio bytes stream |
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| | | - audio sample point |
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| | | - wav.scp |
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| | | |
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| | | #### Inference with you data |
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| | | |
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| | | #### Inference with multi-threads on CPU |
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