| | |
|---|
| | | vad_kwargs = kwargs.get("vad_model_revision", None) |
|---|
| | | if vad_model is not None: |
|---|
| | | logging.info("Building VAD model.") |
|---|
| | | vad_kwargs = {"model": vad_model, "model_revision": vad_kwargs} |
|---|
| | | vad_kwargs = {"model": vad_model, "model_revision": vad_kwargs, "device": kwargs["device"]} |
|---|
| | | vad_model, vad_kwargs = self.build_model(**vad_kwargs) |
|---|
| | | |
|---|
| | | # if punc_model is not None, build punc model else None |
|---|
| | |
|---|
| | | punc_kwargs = kwargs.get("punc_model_revision", None) |
|---|
| | | if punc_model is not None: |
|---|
| | | logging.info("Building punc model.") |
|---|
| | | punc_kwargs = {"model": punc_model, "model_revision": punc_kwargs} |
|---|
| | | punc_kwargs = {"model": punc_model, "model_revision": punc_kwargs, "device": kwargs["device"]} |
|---|
| | | punc_model, punc_kwargs = self.build_model(**punc_kwargs) |
|---|
| | | |
|---|
| | | # if spk_model is not None, build spk model else None |
|---|
| | |
|---|
| | | spk_kwargs = kwargs.get("spk_model_revision", None) |
|---|
| | | if spk_model is not None: |
|---|
| | | logging.info("Building SPK model.") |
|---|
| | | spk_kwargs = {"model": spk_model, "model_revision": spk_kwargs} |
|---|
| | | spk_kwargs = {"model": spk_model, "model_revision": spk_kwargs, "device": kwargs["device"]} |
|---|
| | | spk_model, spk_kwargs = self.build_model(**spk_kwargs) |
|---|
| | | self.cb_model = ClusterBackend() |
|---|
| | | self.cb_model = ClusterBackend().to(kwargs["device"]) |
|---|
| | | spk_mode = kwargs.get("spk_mode", 'punc_segment') |
|---|
| | | if spk_mode not in ["default", "vad_segment", "punc_segment"]: |
|---|
| | | logging.error("spk_mode should be one of default, vad_segment and punc_segment.") |
|---|
| | |
|---|
| | | if self.spk_model is not None: |
|---|
| | | all_segments = sorted(all_segments, key=lambda x: x[0]) |
|---|
| | | spk_embedding = result['spk_embedding'] |
|---|
| | | labels = self.cb_model(spk_embedding, oracle_num=self.preset_spk_num) |
|---|
| | | labels = self.cb_model(spk_embedding.cpu(), oracle_num=self.preset_spk_num) |
|---|
| | | del result['spk_embedding'] |
|---|
| | | sv_output = postprocess(all_segments, None, labels, spk_embedding.cpu()) |
|---|
| | | if self.spk_mode == 'vad_segment': |
|---|
| | |
|---|
| | | for res, vadsegment in zip(restored_data, vadsegments): |
|---|
| | | sentence_list.append({"start": vadsegment[0],\ |
|---|
| | | "end": vadsegment[1], |
|---|
| | | "sentence": res['text'], |
|---|
| | | "sentence": res['raw_text'], |
|---|
| | | "timestamp": res['timestamp']}) |
|---|
| | | else: # punc_segment |
|---|
| | | sentence_list = timestamp_sentence(punc_res[0]['punc_array'], \ |
|---|
