AASP-P4.3
TWO-STAGE ACOUSTIC ECHO CANCELLATION NETWORK WITH DUAL-PATH ALIGNMENT
Zhijian Jiang, Haoming Li, Nengheng Zheng, Shenzhen University, China
Session:
AASP-P4: Active noise control and echo cancellation; Source separation 1 Poster
Track:
Audio and Acoustic Signal Processing
Location:
Poster Zone 4A
Poster Board PZ-4A.3
Poster Board PZ-4A.3
Presentation Time:
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)
Session Chair:
Simon Doclo, University of Oldenburg
Session AASP-P4
AASP-P4.1: Improving acoustic echo cancellation by exploring speech and echo affinity with multi-head attention
Yiqun Zhang, Xinmeng Xu, Weiping Tu, Wuhan University, China
AASP-P4.2: Conjugate Gradient Based Adaptive Algorithm for Nonlinear AEC
Srikanth Burra, Aalborg University, Denmark; Asutosh Kar, NIT Jalandhar, India; Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P4.3: TWO-STAGE ACOUSTIC ECHO CANCELLATION NETWORK WITH DUAL-PATH ALIGNMENT
Zhijian Jiang, Haoming Li, Nengheng Zheng, Shenzhen University, China
AASP-P4.4: IMPROVING ACOUSTIC ECHO CANCELLATION FOR VOICE ASSISTANTS USING NEURAL ECHO SUPPRESSION AND MULTI-MICROPHONE NOISE REDUCTION
Jens Heitkaemper, Arun Narayanan, Turaj Zakizadeh Shabestary, Sankaran Panchapagesan, James Walker, Bhalchandra Gajare, Shlomi Regev, Ajay Dudani, Alexander Gruenstein, Google Inc, United States of America
AASP-P4.5: A COMPUTATIONALLY EFFICIENT SEMI-BLIND SOURCE SEPARATION APPROACH FOR NONLINEAR ECHO CANCELLATION BASED ON AN ELEMENT-WISE ITERATIVE SOURCE STEERING
Kunxing Lu, Waseda University, Japan; Xianrui Wang, Northwestern Polytechnical University, China; Tetsuya Ueda, Shoji Makino, Waseda University, China; Jingdong Chen, Northwestern Polytechnical University, China
AASP-P4.6: IMPROVING SPEECH ATTENUATION IN HEADPHONES USING HARMONIC MODEL DECOMPOSITION AND MULTIPLE-FREQUENCY ANC
Yurii Iotov, Aalborg University / GN Audio A/S, Denmark; Sidsel Marie Nørholm, Peter John McCutcheon, GN Audio A/S, Denmark; Mads Græsbøll Christensen, Aalborg University, Denmark
AASP-P4.7: SPGM: Prioritizing local features for enhanced speech separation performance
Jia Qi Yip, Nanyang Technological University, Singapore; Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Alibaba Group, Singapore; Dianwen Ng, Eng Siong Chng, Nanyang Technological University, Singapore; Bin Ma, Alibaba Group, Singapore
AASP-P4.8: Noise-Aware Speech Separation with Contrastive Learning
Zizheng Zhang, Peking University, China; Chen Chen, Nanyang Technological University, Singapore; Hsin-Hung Chen, Georgia Institute of Technology, United States of America; Xiang Liu, Peking University, China; Yuchen Hu, Eng Siong Chng, Nanyang Technological University, Singapore
AASP-P4.9: RESOURCE-EFFICIENT SEPARATION TRANSFORMER
Luca Della Libera, Concordia University, Canada; Cem Subakan, Université Laval, Canada; Mirco Ravanelli, Concordia University, Canada; Samuele Cornell, Università Politecnica delle Marche, Italy; Frédéric Lepoutre, Soundskrit Inc., Canada; François Grondin, Université de Sherbrooke, Canada
AASP-P4.10: On Training Speech Separation Models With Various Numbers of Speakers
Hyeonseung Kim, Jong Won Shin, Gwangju Institute of Science and Technology, Korea, Republic of
AASP-P4.11: UNSUPERVISED MULTI-CHANNEL SEPARATION AND ADAPTATION
Cong Han, Columbia University, United States of America; Kevin Wilson, Scott Wisdom, John Hershey, Google, United States of America
AASP-P4.12: CONSISTENT AND RELEVANT: RETHINK THE QUERY EMBEDDING IN GENERAL SOUND SEPARATION
Yuanyuan Wang, Tsinghua University, China; Hangting Chen, Tencent, China; Dongchao Yang, The Chinese University of Hong Kong, China; Jianwei Yu, Chao Weng, Tencent, China; Zhiyong Wu, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, Hong Kong
Contacts