Twin Regularization for online speech recognition
Table 3: WER(%) for the DIRHA dataset (MFCC feats).
['[EMPTY]', 'UniDir', 'UniTwin', 'BiDir']
As a last experiment, we extend our previous achievements to more realistic ASR tasks. To test our technique into a complex acoustic scenario, Tab. For the sake of compactness, only the results with MFCCs are reported. It is worth mentioning that we obtained a similar experimental evidence using fbank and fMLLR features.