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Deliang Wang

Affiliations: 
Computer Science and Engineering Ohio State University, Columbus, Columbus, OH 
Area:
machine perception
Website:
http://www.cse.ohio-state.edu/~dwang/
Google:
"Deliang Wang"
Mean distance: 15.18 (cluster 29)
 		SNBCP
Cross-listing: MathTree

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Parents

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Michael A. Arbib grad student USC

Children

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Jitong Chen grad student Ohio State
Xiuwen Liu grad student Ohio State
Nicoleta Roman grad student 2005 Ohio State
Soundararajan Srinivasan grad student 2006 Ohio State
Ke Hu grad student 2012 Ohio State
John Woodruff grad student 2012 Ohio State
Jiangye Yuan grad student 2012 Ohio State
Kun Han grad student 2014 Ohio State
Arun Narayanan grad student 2014 Ohio State
Xiaojia Zhao grad student 2014 Ohio State

Collaborators

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Publications

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Pandey A, Wang D. (2023) Attentive Training: A New Training Framework for Speech Enhancement. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 31: 1360-1370
Zhang H, Pandey A, Wang D. (2023) Low-Latency Active Noise Control Using Attentive Recurrent Network. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 31: 1114-1123
Healy EW, Johnson EM, Pandey A, et al. (2023) Progress made in the efficacy and viability of deep-learning-based noise reduction. The Journal of the Acoustical Society of America. 153: 2751
Wang H, Zhang X, Wang D. (2022) Fusing Bone-conduction and Air-conduction Sensors for Complex-Domain Speech Enhancement. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 30: 3134-3143
Zhang H, Wang D. (2022) Deep MCANC: A deep learning approach to multi-channel active noise control. Neural Networks : the Official Journal of the International Neural Network Society. 158: 318-327
Pandey A, Wang D. (2022) Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 30: 1374-1385
Wang H, Wang D. (2021) Neural Cascade Architecture with Triple-domain Loss for Speech Enhancement. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 30: 734-743
Healy EW, Johnson EM, Delfarah M, et al. (2021) Deep learning based speaker separation and dereverberation can generalize across different languages to improve intelligibility. The Journal of the Acoustical Society of America. 150: 2526
Wang H, Wang D. (2021) Towards Robust Speech Super-resolution. Ieee/Acm Transactions On Audio, Speech, and Language Processing. 29: 2058-2066
Healy EW, Tan K, Johnson EM, et al. (2021) An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listeners. The Journal of the Acoustical Society of America. 149: 3943
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