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| | | """ |
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| | | Author: Speech Lab, Alibaba Group, China |
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| | | SOND: Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis |
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| | | https://arxiv.org/abs/2211.10243 |
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| | | """ |
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| | | |
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| | | from modelscope.pipelines import pipeline |
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| | | from modelscope.utils.constant import Tasks |
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| | | |
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| | | # 初始化推理 pipeline |
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| | | # 当以原始音频作为输入时使用配置文件 sond.yaml，并设置 mode 为sond_demo |
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| | | # initialize the pipeline for inference |
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| | | # when using the raw waveform files to inference, please use the config file `sond.yaml` |
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| | | # and set mode to `sond_demo` |
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| | | inference_diar_pipline = pipeline( |
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| | | mode="sond_demo", |
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| | | num_workers=0, |
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| | |
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| | | diar_model_config="sond.yaml", |
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| | | model='damo/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch', |
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| | | sv_model="damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch", |
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| | | sv_model_revision="master", |
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| | | sv_model_revision="v1.2.2", |
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| | | ) |
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| | | |
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| | | # 以 audio_list 作为输入，其中第一个音频为待检测语音，后面的音频为不同说话人的声纹注册语音 |
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| | | # use audio_list as the input, where the first one is the record to be detected |
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| | | # and the following files are enrollments for different speakers |
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| | | audio_list = [ |
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| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/record.wav", |
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| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/spk1.wav", |
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