funasr/models/lcbnet/model.py
@@ -413,7 +413,6 @@ logging.info("enable beam_search") self.init_beam_search(**kwargs) self.nbest = kwargs.get("nbest", 1) pdb.set_trace() meta_data = {} if isinstance(data_in, torch.Tensor) and kwargs.get("data_type", "sound") == "fbank": # fbank @@ -431,6 +430,7 @@ tokenizer=tokenizer) time2 = time.perf_counter() meta_data["load_data"] = f"{time2 - time1:0.3f}" pdb.set_trace() speech, speech_lengths = extract_fbank(audio_sample_list, data_type=kwargs.get("data_type", "sound"), frontend=frontend) time3 = time.perf_counter()
