egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-minnan-16k-common-vocab3825/infer_after_finetune.py
@@ -34,7 +34,7 @@ batch_size=1 ) audio_in = os.path.join(params["data_dir"], "wav.scp") inference_pipeline(audio_in=audio_in) inference_pipeline(audio_in=audio_in, param_dict={"decoding_model": "normal"}) # computer CER if GT text is set text_in = os.path.join(params["data_dir"], "text")
