%!s(int64=2) %!d(string=hai) anos · 613b2f4172
--- a/egs_modelscope/speaker_diarization/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/infer.py
+++ b/egs_modelscope/speaker_diarization/speech_diarization_sond-zh-cn-alimeeting-16k-n16k4-pytorch/infer.py
@@ -17,7 +17,7 @@ inference_diar_pipline = pipeline(
 
				     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",
			
 
				+    sv_model_revision="v1.2.2",
			
 
				 )
			
 
				 
			
 
				 # use audio_list as the input, where the first one is the record to be detected