egs recipe asr vad punc

egs_modelscope/asr_vad_punc/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/infer.py

@@ -4,12 +4,13 @@ from modelscope.utils.constant import Tasks
 if __name__ == '__main__':
     audio_in = 'https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'
     output_dir = None
-    inference_pipline = pipeline(
+    inference_pipeline = pipeline(
         task=Tasks.auto_speech_recognition,
-        model="damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
-        output_dir=output_dir,
-        batch_size=1,
-    )
-    rec_result = inference_pipline(audio_in=audio_in)
+        model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+        vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
+        vad_model_revision="v1.1.8",
+        punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
+        punc_model_revision="v1.1.6")
+    rec_result = inference_pipeline(audio_in=audio_in)
     print(rec_result)