funasr/utils/load_utils.py
@@ -89,8 +89,6 @@ return array def extract_fbank(data, data_len = None, data_type: str="sound", frontend=None, **kwargs): # import pdb; # pdb.set_trace() if isinstance(data, np.ndarray): data = torch.from_numpy(data) if len(data.shape) < 2:
