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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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| | | |
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| | | # To install requirements: pip3 install -U openai-whisper |
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| | | |
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| | | from funasr import AutoModel |
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| | | |
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| | | # model = AutoModel(model="Whisper-small", hub="openai") |
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| | | # model = AutoModel(model="Whisper-medium", hub="openai") |
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| | | # model = AutoModel(model="Whisper-large-v2", hub="openai") |
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| | | model = AutoModel(model="Whisper-large-v3", hub="openai") |
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| | | model = AutoModel( |
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| | | model="Whisper-large-v3", |
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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": 30000}, |
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| | | hub="openai", |
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| | | ) |
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| | | |
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| | | DecodingOptions = { |
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| | | "task": "transcribe", |
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| | | "language": None, |
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| | | "beam_size": None, |
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| | | "fp16": True, |
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| | | "without_timestamps": False, |
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| | | "prompt": None, |
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| | | } |
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| | | res = model.generate( |
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| | | language=None, |
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| | | task="transcribe", |
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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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| | | DecodingOptions=DecodingOptions, |
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| | | batch_size_s=0, |
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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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| | | ) |
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| | | |
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| | | print(res) |
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