Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
TABLE IV: WERs of the distortion-independent acoustic model on CHiME-2 with other frontends. See TABLE III caption for notations.
['SNR', 'unenhanced chime-2', 'unenhanced ADT', 'LSTM chime-2', 'LSTM ADT', 'CRN chime-2', 'CRN ADT', 'IRM chime-2', 'IRM ADT']
Similar to the experiments on WSJ, distortion-independent acoustic model is tested on LSTM and CRN enhanced speech. The results of both LSTM and CRN enhanced speech are better than those of unenhanced speech. This indicates the ability of the distortion-independent acoustic model to work with various speech enhancement frontends. This also suggests that distortions introduced by different supervised enhancement models have certain similarities.