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- #!/usr/bin/env python3
- # -*- encoding: utf-8 -*-
- # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
- # MIT License (https://opensource.org/licenses/MIT)
- from funasr import AutoModel
- model = AutoModel(model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
- model_revision="v2.0.4",
- vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
- vad_model_revision="v2.0.4",
- punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
- punc_model_revision="v2.0.4",
- # spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
- # spk_model_revision="v2.0.2",
- )
- res = model.generate(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav")
- print(res)
- ''' can not use currently
- from funasr import AutoFrontend
- frontend = AutoFrontend(model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", model_revision="v2.0.4")
- fbanks = frontend(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", batch_size=2)
- for batch_idx, fbank_dict in enumerate(fbanks):
- res = model.generate(**fbank_dict)
- print(res)
- '''
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