| | |
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| | | vad_model_revision="v2.0.4", |
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| | | punc_model="damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", |
|---|
| | | punc_model_revision="v2.0.4", |
|---|
| | | spk_model="damo/speech_campplus_sv_zh-cn_16k-common", |
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| | | spk_model_revision="v2.0.2", |
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| | | # spk_model="damo/speech_campplus_sv_zh-cn_16k-common", |
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| | | # spk_model_revision="v2.0.2", |
|---|
| | | ) |
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| | | |
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| | | |
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| | | # example1 |
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| | | res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", |
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| | | hotword='达摩院 魔搭', |
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| | | # preset_spk_num=2, |
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| | | # return_raw_text=True, # return raw text recognition results splited by space of equal length with timestamp |
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| | | # preset_spk_num=2, # preset speaker num for speaker cluster model |
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| | | # sentence_timestamp=True, # return sentence level information when spk_model is not given |
|---|
| | | ) |
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| | | print(res) |
|---|
