| | |
|---|
| | | result["text"] = punc_res[0]["text"] |
|---|
| | | |
|---|
| | | # speaker embedding cluster after resorted |
|---|
| | | if self.spk_model is not None: |
|---|
| | | if self.spk_model is not None and kwargs.get('return_spk_res', True): |
|---|
| | | all_segments = sorted(all_segments, key=lambda x: x[0]) |
|---|
| | | spk_embedding = result['spk_embedding'] |
|---|
| | | labels = self.cb_model(spk_embedding.cpu(), oracle_num=kwargs['preset_spk_num']) |
|---|
| | | del result['spk_embedding'] |
|---|
| | | labels = self.cb_model(spk_embedding.cpu(), oracle_num=kwargs.get('preset_spk_num', None)) |
|---|
| | | # del result['spk_embedding'] |
|---|
| | | sv_output = postprocess(all_segments, None, labels, spk_embedding.cpu()) |
|---|
| | | if self.spk_mode == 'vad_segment': # recover sentence_list |
|---|
| | | sentence_list = [] |
|---|
| | |
|---|
| | | result['timestamp'], \ |
|---|
| | | result['raw_text']) |
|---|
| | | result['sentence_info'] = sentence_list |
|---|
| | | del result['spk_embedding'] |
|---|
| | | |
|---|
| | | result["key"] = key |
|---|
| | | results_ret_list.append(result) |
|---|
