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| | | from funasr.utils.load_utils import load_audio_text_image_video, extract_fbank |
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| | | from funasr.utils.timestamp_tools import timestamp_sentence |
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| | | from funasr.models.campplus.utils import sv_chunk, postprocess, distribute_spk |
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| | | from funasr.models.campplus.cluster_backend import ClusterBackend |
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| | | try: |
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| | | from funasr.models.campplus.cluster_backend import ClusterBackend |
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| | | except: |
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| | | print("If you want to use the speaker diarization, please `pip install hdbscan`") |
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| | | |
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| | | |
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| | | def prepare_data_iterator(data_in, input_len=None, data_type=None, key=None): |
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| | |
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| | | if spk_mode not in ["default", "vad_segment", "punc_segment"]: |
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| | | logging.error("spk_mode should be one of default, vad_segment and punc_segment.") |
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| | | self.spk_mode = spk_mode |
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| | | self.preset_spk_num = kwargs.get("preset_spk_num", None) |
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| | | if self.preset_spk_num: |
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| | | logging.warning("Using preset speaker number: {}".format(self.preset_spk_num)) |
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| | | |
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| | | self.kwargs = kwargs |
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| | | self.model = model |
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| | |
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| | | # build model |
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| | | model_class = tables.model_classes.get(kwargs["model"]) |
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| | | model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size) |
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| | | model.eval() |
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| | | |
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| | | model.to(device) |
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| | | |
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| | | # init_param |
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| | |
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| | | kwargs = self.kwargs if kwargs is None else kwargs |
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| | | kwargs.update(cfg) |
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| | | model = self.model if model is None else model |
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| | | model.eval() |
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| | | |
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| | | batch_size = kwargs.get("batch_size", 1) |
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| | | # if kwargs.get("device", "cpu") == "cpu": |
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| | |
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| | | result["text"] = punc_res[0]["text"] |
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| | | |
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| | | # speaker embedding cluster after resorted |
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| | | if self.spk_model is not None: |
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| | | if self.spk_model is not None and kwargs.get('return_spk_res', True): |
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| | | all_segments = sorted(all_segments, key=lambda x: x[0]) |
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| | | spk_embedding = result['spk_embedding'] |
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| | | labels = self.cb_model(spk_embedding.cpu(), oracle_num=self.preset_spk_num) |
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| | | del result['spk_embedding'] |
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| | | labels = self.cb_model(spk_embedding.cpu(), oracle_num=kwargs.get('preset_spk_num', None)) |
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| | | # del result['spk_embedding'] |
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| | | sv_output = postprocess(all_segments, None, labels, spk_embedding.cpu()) |
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| | | if self.spk_mode == 'vad_segment': # recover sentence_list |
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| | | sentence_list = [] |
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| | |
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| | | result['timestamp'], \ |
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| | | result['raw_text']) |
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| | | result['sentence_info'] = sentence_list |
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| | | del result['spk_embedding'] |
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| | | |
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| | | result["key"] = key |
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| | | results_ret_list.append(result) |
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