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| | | #### API-reference |
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| | | ##### Define pipeline |
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| | | ### API-reference |
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| | | #### Define pipeline |
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| | | - `task`: `Tasks.speech_timestamp` |
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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` (Default), decoding on GPU. If ngpu=0, decoding on CPU |
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| | | - `ncpu`: `1` (Default), sets the number of threads used for intraop parallelism on CPU |
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| | | - `output_dir`: `None` (Default), the output path of results if set |
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| | | - `batch_size`: `1` (Default), batch size when decoding |
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| | | ##### Infer pipeline |
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| | | #### Infer pipeline |
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| | | - `audio_in`: the input speech to predict, which could be: |
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| | | - wav_path, `e.g.`: asr_example.wav (wav in local or url), |
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| | | - wav.scp, kaldi style wav list (`wav_id wav_path`), `e.g.`: |
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