58 citations · 335 across the 31 of their papers we have counts for
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cs.SD2019★ 5 cited
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu, DeLiang Wang
We address talker-independent monaural speaker separation from the perspectives of deep learning and computational auditory scene analysis (CASA). Specifically, we decompose the mu…
eess.AS2019★ 4 cited
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Peidong Wang, Ke Tan, DeLiang Wang
Monaural speech enhancement has made dramatic advances since the introduction of deep learning a few years ago. Although enhanced speech has been demonstrated to have better intell…