SS-18.3
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
Session:
Signal Processing and Machine Learning for Respiratory Disease Analysis
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Fri, 13 May, 22:00 - 22:45 China Time (UTC +8)
Fri, 13 May, 14:00 - 14:45 UTC
Fri, 13 May, 14:00 - 14:45 UTC
Session Chair:
Jing Han, University of Cambridge
Session SS-18
SS-18.1: END-TO-END NETWORK BASED ON TRANSFORMER FOR AUTOMATIC DETECTION OF COVID-19
Cong Cai, Bin Liu, Jianhua Tao, Zhengkun Tian, Kexin Wang, Institute of Automation, Chinese Academy of Sciences, China; Jiahao Lu, Tianjin Normal University, China
SS-18.2: PROTOTYPE LEARNING FOR INTERPRETABLE RESPIRATORY SOUND ANALYSIS
Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Leibniz Universität Hannover, Germany
SS-18.3: 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
SS-18.4: Detection of COPD exacerbation from speech: comparison of acoustic features and deep learning based speech breathing models
Venkata Srikanth Nallanthighal, Philips Research Eindhoven and Radboud University, Nijmegen, Netherlands; Aki Härmä, Philips Research Eindhoven, Netherlands; Helmer Strik, Radboud University, Nijmegen, Netherlands
SS-18.5: AUTOMATIC RESPIRATORY SOUND CLASSIFICATION VIA MULTI-BRANCH TEMPORAL CONVOLUTIONAL NETWORK
Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Tianjin Normal University, China; Haishuai Wang, Fairfield University, United States of America; Zixing Zhang, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Ya Li, Beijing University of Posts and Telecommunications, China
SS-18.6: DOMAIN ADAPTATION FOR FOOD INTAKE CLASSIFICATION WITH TEACHER/STUDENT LEARNING
Mehmet Ali Tugtekin Turan, Engin Erzin, Koc University, Turkey