add infer decoding model param

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-offline/infer.py

@@ -23,7 +23,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
         batch_size=1
     )
     audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
-    inference_pipline(audio_in=audio_in)
+    inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
 
 
 def modelscope_infer(params):

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py

@@ -23,7 +23,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
         batch_size=1
     )
     audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
-    inference_pipline(audio_in=audio_in)
+    inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
 
 
 def modelscope_infer(params):

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-offline/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-offline",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)

egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online/infer.py

@@ -9,5 +9,5 @@ if __name__ == "__main__":
         model="damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online",
         output_dir=output_dir,
     )
-    rec_result = inference_pipline(audio_in=audio_in)
+    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
     print(rec_result)