| | |
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| | | #### [RNN-T-online model]() |
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| | | Undo |
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| | | |
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| | | #### [MFCCA Model](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary) |
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| | | For more model detailes, please refer to [docs](https://www.modelscope.cn/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/summary) |
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| | | ```python |
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| | | from modelscope.pipelines import pipeline |
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| | | from modelscope.utils.constant import Tasks |
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| | | |
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| | | inference_pipeline = pipeline( |
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| | | task=Tasks.auto_speech_recognition, |
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| | | model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950', |
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| | | model_revision='v3.0.0' |
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| | | ) |
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| | | |
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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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| | | |
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| | | #### API-reference |
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| | | ##### Define pipeline |
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| | | - `task`: `Tasks.auto_speech_recognition` |
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| | |
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| | | - `njob`: only used for CPU inference (`gpu_inference`=`false`), `64` (Default), the number of jobs for CPU decoding |
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| | | - `checkpoint_dir`: only used for infer finetuned models, the path dir of finetuned models |
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| | | - `checkpoint_name`: only used for infer finetuned models, `valid.cer_ctc.ave.pb` (Default), which checkpoint is used to infer |
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| | | - `decoding_mode`: `normal` (Default), decoding mode for UniASR model(fast、normal、offline) |
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| | | - `hotword_txt`: `None` (Default), hotword file for contextual paraformer model(the hotword file name ends with .txt") |
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| | | |
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| | | - Decode with multi GPUs: |
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| | | ```shell |
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