Merge pull request #506 from alibaba-damo-academy/main

yhliang

2023-05-12 248408f92fab400d4de451742d085391d9ee7dec

 funasr/utils/vad_utils.py

New file
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import torch
from torch.nn.utils.rnn import pad_sequence

def slice_padding_fbank(speech, speech_lengths, vad_segments):
   speech_list = []
   speech_lengths_list = []
   for i, segment in enumerate(vad_segments):
		
      bed_idx = int(segment[0][0]*16)
      end_idx = min(int(segment[0][1]*16), speech_lengths[0])
      speech_i = speech[0, bed_idx: end_idx]
      speech_lengths_i = end_idx-bed_idx
      speech_list.append(speech_i)
      speech_lengths_list.append(speech_lengths_i)
   feats_pad = pad_sequence(speech_list, batch_first=True, padding_value=0.0)
   speech_lengths_pad = torch.Tensor(speech_lengths_list).int()
   return feats_pad, speech_lengths_pad