| | |
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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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| | | #### [Paraformer-online Model](https://www.modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/summary) |
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| | | #### [Paraformer-online Model](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) |
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| | | ```python |
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| | | inference_pipeline = pipeline( |
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| | | task=Tasks.auto_speech_recognition, |
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| | | model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online', |
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| | | model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online', |
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| | | model_revision='v1.0.4' |
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| | | ) |
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| | | import soundfile |
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| | | speech, sample_rate = soundfile.read("example/asr_example.wav") |
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| | | |
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| | | param_dict = {"cache": dict(), "is_final": False} |
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| | | chunk_stride = 7680# 480ms |
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| | | # first chunk, 480ms |
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| | | chunk_size = [5, 10, 5] #[5, 10, 5] 600ms, [8, 8, 4] 480ms |
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| | | param_dict = {"cache": dict(), "is_final": False, "chunk_size": chunk_size} |
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| | | chunk_stride = chunk_size[1] * 960 # 600ms、480ms |
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| | | # first chunk, 600ms |
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| | | speech_chunk = speech[0:chunk_stride] |
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| | | rec_result = inference_pipeline(audio_in=speech_chunk, param_dict=param_dict) |
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| | | print(rec_result) |
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| | | # next chunk, 480ms |
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| | | # next chunk, 600ms |
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| | | speech_chunk = speech[chunk_stride:chunk_stride+chunk_stride] |
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| | | rec_result = inference_pipeline(audio_in=speech_chunk, param_dict=param_dict) |
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| | | print(rec_result) |
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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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