python/FunASR-XL.git

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			from modelscope.pipelines import pipeline
			from modelscope.utils.constant import Tasks

			# 初始化推理 pipeline
			# 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
			inference_diar_pipline = pipeline(
			mode="sond_demo",
			num_workers=0,
			task=Tasks.speaker_diarization,
			diar_model_config="sond.yaml",
			model='damo/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch',
			sv_model="damo/speech_xvector_sv-zh-cn-cnceleb-16k-spk3465-pytorch",
			sv_model_revision="master",
			)

			# 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 = [
			"https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/record.wav",
			"https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/spk1.wav",
			"https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/spk2.wav",
			"https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/spk3.wav",
			"https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_data/speaker_diarization/spk4.wav",
			]

			results = inference_diar_pipline(audio_in=audio_list)
			print(results)

	egs_modelscope/speaker_diarization/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch/infer.py	补丁 \| 查看 \| 原始文档 \| blame \| 历史
	egs_modelscope/speaker_diarization/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/infer.py	26 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史