Acknowledgements
Table 5.5: PER(%) of the GRU models with and without batch normalization (TIMIT dataset, MFCC features).
['[ITALIC] Param.Arch.', 'GRU', 'M-GRU', 'Li-GRU']
, we now compare RNN models in terms of their final speech recognition performance on the TIMIT dataset. In particular, this section studies the effects of batch normalization on the proposed model.