D
DeLiang Wang
Researcher at Ohio State University
Publications - 475
Citations - 28623
DeLiang Wang is an academic researcher from Ohio State University. The author has contributed to research in topics: Speech processing & Speech enhancement. The author has an hindex of 82, co-authored 440 publications receiving 23687 citations. Previous affiliations of DeLiang Wang include Massachusetts Institute of Technology & Tsinghua University.
Papers
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Journal ArticleDOI
Weight adaptation and oscillatory correlation for image segmentation
Ke Chen,DeLiang Wang,Xiuwen Liu +2 more
TL;DR: It is shown that weight adaptation plays the roles of noise removal and feature preservation and the scheme is insensitive to termination time and the resulting dynamic weights in a wide range of iterations lead to the same segmentation results.
Proceedings ArticleDOI
Speech segregation based on pitch tracking and amplitude modulation
Guoning Hu,DeLiang Wang +1 more
TL;DR: This work extends the Wang-Brown model for speech segregation by adding further processes based on psychoacoustic evidence to improve the performance, and it yields significantly better performance.
Journal ArticleDOI
A spectral histogram model for texton modeling and texture discrimination
Xiuwen Liu,DeLiang Wang +1 more
TL;DR: The chi(2)-statistic is used to measure the difference between two spectral histograms, which leads to a texture discrimination model that well matches psychophysical results on a systematic set of texture discrimination data and exhibits the nonlinearity and asymmetry phenomena in human texture discrimination.
Journal ArticleDOI
Deep Learning Based Target Cancellation for Speech Dereverberation
Zhong-Qiu Wang,DeLiang Wang +1 more
TL;DR: These models show excellent speech dereverberation and recognition performance on the test set of the REVERB challenge, consistently better than single- and multi-channel weighted prediction error (WPE) algorithms.
Book ChapterDOI
Binaural Sound Localization
DeLiang Wang,Guy J. Brown +1 more
TL;DR: This chapter contains sections titled: Introduction Physical and Physiological Mechanisms Underlying Auditory Localization Spatial perception of Single Sources Spatial Perception of Multiple Sources Models of Binaural Perception Multisource Sound Localization General Discussion.