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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
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
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