| | |
|---|
| | | |
|---|
| | | # computer CER if GT text is set |
|---|
| | | text_in = os.path.join(params["data_dir"], "text") |
|---|
| | | if text_in is not None: |
|---|
| | | text_proc_file = os.path.join(decoding_path, "1best_recog/token") |
|---|
| | | if os.path.exists(text_in): |
|---|
| | | 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")) |
|---|
| | | |
|---|
| | | |
|---|
| | |
|---|
| | | params["required_files"] = ["am.mvn", "decoding.yaml", "configuration.json"] |
|---|
| | | params["output_dir"] = "./checkpoint" |
|---|
| | | params["data_dir"] = "./data/test" |
|---|
| | | params["decoding_model_name"] = "valid.cer_ctc.ave.pth" |
|---|
| | | params["decoding_model_name"] = "valid.cer_ctc.ave.pb" |
|---|
| | | modelscope_infer_after_finetune(params) |
|---|
