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IEEE/ACM Transactions on Audio, Speech, and Language Processing|June 28, 2021
Towards Model Compression for Deep Learning Based Speech EnhancementKe Tan, DeLiang WangIEEE/ACM Transactions on Audio, Speech, and Language Processing|March 22, 2021
Learning Complex Spectral Mapping with Gated Convolutional Recurrent Networks for Monaural Speech EnhancementKe Tan, DeLiang WangIEEE/ACM Transactions on Audio, Speech, and Language Processing|June 28, 2021
Deep Learning Based Real-time Speech Enhancement for Dual-microphone Mobile PhonesKe Tan, Xueliang Zhang, DeLiang WangIEEE/ACM Transactions on Audio, Speech, and Language Processing|July 30, 2019
Gated Residual Networks with Dilated Convolutions for Monaural Speech EnhancementKe Tan, Jitong Chen, DeLiang WangThe Journal of the Acoustical Society of America|July 9, 2021
An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listenersEric W Healy, Ke Tan, Eric M Johnson, et al.Trends in Amplification|November 1, 2008
Time-frequency masking for speech separation and its potential for hearing aid designDeLiang WangIEEE Transactions on Neural Networks|December 14, 2005
The time dimension for scene analysisDeliang WangNeural Networks : the Official Journal of the International Neural Network Society|December 9, 2022
Deep MCANC: A deep learning approach to multi-channel active noise controlHao Zhang, DeLiang WangVision Research|November 26, 2002
A spectral histogram model for texton modeling and texture discriminationXiuwen Liu, DeLiang WangIEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 2, 2008
Scene analysis by integrating primitive segmentation and associative memoryDeliang Wang, Xiuwen LiuPageof 35