20 lines
646 B
Python
20 lines
646 B
Python
#!/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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multilingual_wavs = [
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"example_zh-CN.mp3",
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"example_en.mp3",
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"example_ja.mp3",
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"example_ko.mp3",
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]
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model = AutoModel(model="iic/speech_whisper-large_lid_multilingual_pytorch")
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for wav_id in multilingual_wavs:
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wav_file = f"{model.model_path}/examples/{wav_id}"
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res = model.generate(input=wav_file, data_type="sound", inference_clip_length=250)
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print("detect sample {}: {}".format(wav_id, res))
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