from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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if __name__ == '__main__':
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inference_sv_pipline = pipeline(
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task=Tasks.speaker_verification,
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model='damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch'
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)
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# 两个语音为相同说话人
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rec_result = inference_sv_pipline(audio_in=(
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'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav',
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'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_same.wav'))
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print("Similarity", rec_result["scores"])
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# 两个语音为不同说话人
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rec_result = inference_sv_pipline(audio_in=(
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'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_enroll.wav',
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'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/sv_example_different.wav'))
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print("Similarity", rec_result["scores"])
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