Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
TABLE II: WERs of the distortion-independent acoustic model on WSJ with other frontends. See TABLE I caption for notations.
['SNR', 'unenhanced bab', 'unenhanced caf', 'LSTM bab', 'LSTM caf', 'CRN bab', 'CRN caf', 'IRM bab', 'IRM caf']
From the table, we observe that both LSTM and CRN yield better results than unenhanced speech. This shows that the distortion-independent acoustic model is able to generalize to different enhancement frontends. This also suggests that there may be a common pattern in the distortions introduced by supervised speech enhancement models.