funasr/utils/prepare_data.py
@@ -5,9 +5,9 @@ import kaldiio import numpy as np import soundfile import torch.distributed as dist import torchaudio import soundfile def filter_wav_text(data_dir, dataset): @@ -87,6 +87,7 @@ sample_name, feature_path = line.strip().split() feature = kaldiio.load_mat(feature_path) n_frames, feature_dim = feature.shape write_flag = True if n_frames > 0 and length_min > 0: write_flag = n_frames >= length_min if n_frames > 0 and length_max > 0:
