| | |
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| | | rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') |
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| | | print(rec_result) |
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| | | ``` |
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| | | The decoding mode of `fast` and `normal` |
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| | | The decoding mode of `fast` and `normal` is fake streaming, which could be used for evaluating of recognition accuracy. |
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| | | Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/FunASR/discussions/151) |
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| | | #### [RNN-T-online model]() |
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| | | Undo |
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| | |
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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 |
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| | | - `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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| | | - `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: |
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| | | - wav_path, `e.g.`: asr_example.wav, |
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