| ## 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 | |
| ``` | |