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
BIO-8: Brain-Computer Interfaces
Wed, 11 May, 23:00 - 23:45 China Time (UTC +8)
Wed, 11 May, 15:00 - 15:45 UTC
Location: Gather Area N
Session Chair: Hung Cao, UC Irvine
Track: Biomedical Imaging and Signal Processing

BIO-8.1: A CHANNEL ATTENTION BASED MLP-MIXER NETWORK FOR MOTOR IMAGERY DECODING WITH EEG
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi, Shanghai University, China

BIO-8.2: TOWARDS CLOSED-LOOP SPEECH SYNTHESIS FROM STEREOTACTIC EEG: A UNIT SELECTION APPROACH
Miguel Angrick, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Tanja Schultz, University of Bremen, Germany; Maarten Ottenhoff, Sophocles Goulis, Pieter L. Kubben, Christian Herff, Maastricht University, Netherlands; Albert J. Colon, Louis Wagner, Epilepsy Center Kempenhaeghe, Netherlands; Dean J. Krusienski, Virginia Commonwealth University, United States of America

BIO-8.3: ENHANCING CONTEXTUAL ENCODING WITH STAGE-CONFUSION AND STAGE-TRANSITION ESTIMATION FOR EEG-BASED SLEEP STAGING
Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk, Korea University, Korea, Republic of

BIO-8.4: IMPROVING BCI-BASED COLOR VISION ASSESSMENT USING GAUSSIAN PROCESS REGRESSION
Hadi Habibzadeh, Daphney-Stavroula Zois, University at Albany, State University of New York, United States of America; Kevin J. Long, James J. S. Norton, US Department of Veterans Affairs, United States of America; Ally E. Atkins, Union College, United States of America

BIO-8.5: 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

BIO-8.6: MACRO: Multi-Attention Convolutional Recurrent Model for Subject-Independent ERP Detection
Zhen Lan, Chao Yan, Zi Xing Li, Dengqing Tang, Xiaojia Xiang, National University of Defense Technology, China