readme: 
  ## Pre-trained TDNN models for the yesno dataset with icefall.
  
  Refer to <https://github.com/k2-fsa/icefall/tree/master/egs/yesno/ASR>
  for more information about this pre-trained model.
  
  You can find usage instructions there.
  
  
  ## Sound files for testing the pre-trained model
  
  The folder `test_waves` contains test sound files. They
  are downloaded from <https://www.openslr.org/1/>.
  
  There are 60 files in the dataset, 30 are used for training.
  The remaining 30 files, contained in `test_waves` are kept for testing.
  
  The code for splitting the dataset can be found at
  <https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipes/yesno.py#L138>
  
  ```python
  wave_files = list(corpus_dir.glob("*.wav"))
  assert len(wave_files) == 60
  
  wave_files.sort()
  train_set = wave_files[::2]
  test_set = wave_files[1::2]
  
  assert len(train_set) == 30
  assert len(test_set) == 30
  ```
  