#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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from funasr import AutoModel
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model = AutoModel(
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model="iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
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vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
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vad_kwargs={"max_single_segment_time": 60000},
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punc_model="iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch",
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# spk_model="iic/speech_campplus_sv_zh-cn_16k-common",
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)
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res = model.generate(
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav",
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cache={},
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)
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print(res)
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""" call english model like below for detailed timestamps
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# choose english paraformer model first
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# iic/speech_paraformer_asr-en-16k-vocab4199-pytorch
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res = model.generate(
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav",
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cache={},
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pred_timestamp=True,
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return_raw_text=True,
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sentence_timestamp=True,
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en_post_proc=True,
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)
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"""
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""" can not use currently
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from funasr import AutoFrontend
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frontend = AutoFrontend(model="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
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fbanks = frontend(input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav", batch_size=2)
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for batch_idx, fbank_dict in enumerate(fbanks):
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res = model.generate(**fbank_dict)
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print(res)
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"""
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