| | |
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| | | |
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| | | param_dict = dict() |
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| | | param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt" |
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| | | param_dict['clas_scale'] = 1.00 # 1.50 # set it larger if you want high recall (sacrifice general accuracy) |
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| | | # 13% relative recall raise over internal hotword test set (45%->51%) |
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| | | # CER might raise when utterance contains no hotword |
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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="damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404", |
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