| File was renamed from egs_modelscope/speaker_diarization/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/unit_test.py |
| | |
| | | ) |
| | | |
| | | # 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 |
| | | audio_list = [[ |
| | | audio_list = [ |
| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/record.wav", |
| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_A.wav", |
| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_B.wav", |
| | | "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/spk_B1.wav" |
| | | ]] |
| | | ] |
| | | |
| | | results = inference_diar_pipline(audio_in=audio_list) |
| | | for rst in results: |
| | | print(rst["value"]) |
| | | print(results) |