IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-L5: Machine Learning Theory and Applications
Thu, 26 May, 15:30 - 18:00 China Time (UTC +8)
Thu, 26 May, 07:30 - 10:00 UTC
Location: Roselle Junior Ballroom 4611-3
Session Co-Chairs: Eric Evert, KU Leuven and Cheryl Sze Yin Wong, Institute for Infocomm Research
Track: Machine Learning for Signal Processing

MLSP-L5.1: Transformer-Based Estimation of Spoken Sentences using Electrocorticography
Shuji Komeiji, Kai Shigemi, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan; Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Juntendo University, Japan; Koichi Shinoda, Tokyo Institute of Technology, Japan

MLSP-L5.2: LEARNING CONTINUOUS REPRESENTATION OF AUDIO FOR ARBITRARY SCALE SUPER RESOLUTION
Jaechang Kim, Yunjoo Lee, Jungseul Ok, Pohang University of Science and Technology, Korea, Republic of; Seunghoon Hong, Korea Advanced Institute of Science and Technology, Korea, Republic of

MLSP-L5.3: INCREMENTAL CONTEXT AWARE ATTENTIVE KNOWLEDGE TRACING
Cheryl Sze Yin Wong, Yang Guo, Nancy F. Chen, Savitha Ramasamy, Institute for Infocomm Research, Singapore

MLSP-L5.4: PROBABLY PLEASANT? A NEURAL-PROBABILISTIC APPROACH TO AUTOMATIC MASKER SELECTION FOR URBAN SOUNDSCAPE AUGMENTATION
Kenneth Ooi, Karn N. Watcharasupat, Bhan Lam, Zhen-Ting Ong, Woon-Seng Gan, Nanyang Technological University, Singapore

MLSP-L5.5: CLOSING THE SIM-TO-REAL GAP IN GUIDED WAVE DAMAGE DETECTION WITH ADVERSARIAL TRAINING OF VARIATIONAL AUTO-ENCODERS
Ishan Khurjekar, Joel Harley, University of Florida, United States of America

MLSP-L5.6: Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models
Zhiyuan Zha, Bihan Wen, Nanyang Technological University, Singapore; Xin Yuan, Nokia Bell Labs, United States of America; Jiantao Zhou, University of Macau, China; Ce Zhu, University of Electronic Science and Technology of China, China

MLSP-L5.7: BOUNDED SIMPLEX-STRUCTURED MATRIX FACTORIZATION
Olivier Vu Thanh, Nicolas Gillis, Fabian Lecron, Université de Mons, Belgium

MLSP-L5.8: CPD computation via recursive eigenspace decompositions
Eric Evert, Michiel Vandecappelle, Lieven De Lathauwer, KU Leuven, Belgium

MLSP-L5.9: CONVOLUATIONAL TRANSFORMER WITH ADAPTIVE POSITION EMBEDDING FOR COVID-19 DETECTION FROM COUGH SOUNDS
Tianhao Yan, Harbin Engineering University and University of Augsburg, China; Hao Meng, Harbin Engineering University, China; Shuo Liu, University of Augsburg, Germany; Emilia Parada-Cabaleiro, Johannes Kepler University Linz, Austria; Zhao Ren, Leibniz Universit¨at Hannover, Germany; Björn W. Schuller, University of Augsburg and Imperial College London, Germany

MLSP-L5.10: LEARNING SOUND LOCALIZATION BETTER FROM SEMANTICALLY SIMILAR SAMPLES
Arda Senocak, Hyeonggon Ryu, In So Kweon, KAIST, Korea, Republic of; Junsik Kim, Harvard University, Korea, Republic of