paraformer-speaker inference pipeline

shixian.shi

2023-10-10 8a0930d682fe3206e0b41c694fc03d7d10c7eed2

 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: