APSIPA ASC 2022

Abstract: We have seen significant progress in voice processing in the past several years. In this talk, I will introduce a series of techniques developed at Tencent AI Lab on voice enhancement, separation, and compression and their applications in real-world scenarios such as music separation, in-car voice processing, and online meetings. I will describe the key paradigm change behind all these advancements and the solutions to new problems observed in the new paradigm.

Short Bio: Dr. Dong Yu is an IEEE Fellow, an ISCA Fellow, and an ACM distinguished scientist. He currently works at Tencent AI Lab as a distinguished scientist and vice general manager. Prior to joining Tencent in 2017, he worked as a principal researcher at Microsoft Research (Redmond), where he had been since 1998. He has concentrated his research on speech recognition and processing, as well as natural language processing in recent years. He has two monographs and over 300 papers to his credit. His work has been widely cited, and he has received the prestigious IEEE Signal Processing Society best paper award in 2013, 2016, and 2020, as well as the 2021 NAACL best long paper award. He was a forerunner in the use of deep learning techniques in automatic speech recognition.

Dr. Dong Yu is currently serving as the chair of the IEEE Speech and Language Processing Technical Committee (SLTC). He has served on the editorial boards of numerous journals and magazines, as well as on the organizing and technical committees of numerous conferences and workshops, including serving as the technical co-chair of ICASSP 2021.