egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py
@@ -37,7 +37,7 @@ # computer CER if GT text is set text_in = os.path.join(params["data_dir"], "text") if text_in is not None: if os.path.exists(text_in): text_proc_file = os.path.join(decoding_path, "1best_recog/token") compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))
