SpecAugment: A Simple Data Augmentation Methodfor Automatic Speech Recognition
Table 5: Switchboard 300h WERs (%).
['[BOLD] Method', '[BOLD] No LM  [BOLD] SWBD', '[BOLD] No LM  [BOLD] CH', '[BOLD] With LM  [BOLD] SWBD', '[BOLD] With LM  [BOLD] CH']
As with LibriSpeech 960h, we train LAS-6-1280 on the Switchboard 300h training set with schedule L (training time ∼ 24 days) to get state of the art performance. In this case, we find that turning label smoothing on throughout training benefits the final performance. We report the performance at the end of training time at 340k steps. We also apply shallow fusion with an LM trained on Fisher-Switchboard, whose fusion parameters are obtained by evaluating performance on the RT-03 corpus.