egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/infer_after_finetune.py
@@ -39,7 +39,7 @@ # computer CER if GT text is set text_in = os.path.join(params["data_dir"], "text") if os.path.exists(text_in): text_proc_file = os.path.join(decoding_path, "1best_recog/token") text_proc_file = os.path.join(decoding_path, "1best_recog/text") compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
