Twin Regularization for online speech recognition
Table 2: PER(%) on TIMIT obtained with a context windows that embeds some future frames (Li-GRU model, fbank feats).
['# Future Frames', 'UniDir', 'UniTwin']
The results presented above are obtained with RNNs fed with the current frame only. Similarly to the window-based approaches described in Sec.