python/FunASR-XL.git

			@@ -14,13 +14,12 @@
			)

			# 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)

			@@ -210,7 +210,7 @@
			if data_path_and_name_and_type is None and raw_inputs is not None:
			if isinstance(raw_inputs, torch.Tensor):
			raw_inputs = raw_inputs.numpy()
			data_path_and_name_and_type = [raw_inputs, "speech", "waveform"]
			data_path_and_name_and_type = [raw_inputs[0], "speech", "bytes"]
			logger.info(data_path_and_name_and_type)
			loader = EENDOLADiarTask.build_streaming_iterator(
			data_path_and_name_and_type,

	egs_modelscope/speaker_diarization/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/unit_test.py	7 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史
	funasr/bin/eend_ola_inference.py	2 ●●●●● 补丁 \| 查看 \| 原始文档 \| blame \| 历史