egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py
@@ -23,7 +23,7 @@ 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":"normal"}) def modelscope_infer(params):
