Dr. XUE, Wei

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雪巍博士
B.Eng., Ph.D.
Assistant Professor, Department of Computer Science




AboutWei Xue is currently an Assistant Professor on Speech and Music Processing in Department of Computer Science, HKBU. Wei received the Bachelor degree in Automation from Huazhong University of Science and Technology in 2010, and the Ph.D degree in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences in 2015. From August 2015 to September 2018 he was first a Marie Curie Experienced Researcher and then a Research Associate in the Department of Electrical & Electronic Engineering, Imperial College London. From November 2018 to December 2021, he was a Senior Research Scientist at JD AI Research, Beijing, where he was leading R&D on front-end speech processing and acoustic modelling for speech recognition. He was a visiting scholar at Université de Toulon and KU Leuven. Wei's research interests are in speech and music intelligence, including AI music generation, speech enhancement and separation, room acoustics, as well as speech and audio event recognition. He was a former Marie Curie Fellow and was selected into the Beijing Overseas Talent Aggregation Project.

Research InterestsAI Music and AI Singer Generation
Audio Enhancement and Separation for Music Applications
Recognition of Content and Type Information of Speech and Sound Events

Selected PublicationsWei Xue, Gang Quan, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou, “Neural Kalman Filtering for Speech Enhancement,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Wei Xue, Alastair. H. Moore, Mike Brookes, Patrick A. Naylor, “Speech Enhancement Based on Modulation-Domain Parametric Multichannel Kalman Filtering,” IEEE/ACM transactions on Audio, Speech and Language Processing (IEEE/ACM TASLP), 2020.
Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, Xiaodong He, Bowen Zhou, “Sound Event Detection and Localization based on Multiple-DOA beamforming and Multi-task Learning, “Annual Conference of the International Speech Communication Association (InterSpeech), 2020.
Wei Xue, Ying Tong, Chao Zhang, Guohong Ding, “Multi-beam and Multi-task Learning for Joint Sound Event Detection and Localization”, Tech Report, Detection and Classification of Sound Events (DCASE), 2019.
Wei Xue, Ying Tong, Guohong Ding, Chao Zhang, Tao Ma, Xiaodong He, Bowen Zhou, “Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation,” Annual Conference of the International Speech Communication Association (InterSpeech), 2019.
Wei Xue, Alastair. H. Moore, Mike Brookes, Patrick A. Naylor, “Modulation-Domain Multichannel Kalman Filtering for Speech Enhancement,” IEEE/ACM transactions on Audio, Speech and Language Processing (IEEE/ACM TASLP), 26(10), 1833-1847, 2018.
Wei Xue, Alastair. H. Moore, Mike Brookes, Patrick A. Naylor, “Modulation-Domain Parametric Multichannel Kalman Filtering for Speech Enhancement,” European Signal Processing Conference (EUSIPCO), 2018.
Wei Xue, Alastair. H. Moore, Mike Brookes, Patrick A. Naylor, “Multichannel Kalman Filtering for Speech Enhancement,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
Wei Xue, Mike Brookes, Patrick A. Naylor, “Frequency-Domain Under-Modelled Blind System Identification Based on Cross Power Spectrum and Sparsity Regularization,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.