| | |
|---|
| | | nbest_hyps = [Hypothesis(yseq=yseq, score=score)] |
|---|
| | | for nbest_idx, hyp in enumerate(nbest_hyps): |
|---|
| | | ibest_writer = None |
|---|
| | | if ibest_writer is None and kwargs.get("output_dir") is not None: |
|---|
| | | writer = DatadirWriter(kwargs.get("output_dir")) |
|---|
| | | ibest_writer = writer[f"{nbest_idx+1}best_recog"] |
|---|
| | | if kwargs.get("output_dir") is not None: |
|---|
| | | if not hasattr(self, "writer"): |
|---|
| | | self.writer = DatadirWriter(kwargs.get("output_dir")) |
|---|
| | | ibest_writer = self.writer[f"{nbest_idx+1}best_recog"] |
|---|
| | | # remove sos/eos and get results |
|---|
| | | last_pos = -1 |
|---|
| | | if isinstance(hyp.yseq, list): |
|---|
| | |
|---|
| | | |
|---|
| | | result_i = {"key": key[i], "text": text_postprocessed} |
|---|
| | | |
|---|
| | | |
|---|
| | | if ibest_writer is not None: |
|---|
| | | ibest_writer["token"][key[i]] = " ".join(token) |
|---|
| | | # ibest_writer["text"][key[i]] = text |
|---|
