SS-15.1
FUSION OF MODULATION SPECTRAL AND SPECTRAL FEATURES WITH SYMPTOM METADATA FOR IMPROVED SPEECH-BASED COVID-19 DETECTION
Yi Zhu, Tiago Falk, Institut national de la recherche scientifique, Canada
Session:
Computer Audition for Healthcare (CA4H)
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Thu, 12 May, 22:00 - 22:45 China Time (UTC +8)
Thu, 12 May, 14:00 - 14:45 UTC
Thu, 12 May, 14:00 - 14:45 UTC
Session Chair:
Kun Qian, Beijing Institute of Technology
Session SS-15
SS-15.1: FUSION OF MODULATION SPECTRAL AND SPECTRAL FEATURES WITH SYMPTOM METADATA FOR IMPROVED SPEECH-BASED COVID-19 DETECTION
Yi Zhu, Tiago Falk, Institut national de la recherche scientifique, Canada
SS-15.2: AN OVERVIEW OF THE FIRST ICASSP SPECIAL SESSION ON COMPUTER AUDITION FOR HEALTHCARE
Kun Qian, Beijing Institute of Technology, China; Tanja Schultz, University of Bremen, Germany; Björn Schuller, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SS-15.3: A glance-and-gaze network for respiratory sound classification
Shuai Yu, Yiwei Ding, Wei Li, Fudan University, China; Kun Qian, Bin Hu, Beijing Institute of Technology, China; Bjoern Schuller, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SS-15.4: INTERNET STREAMING AUDIO BASED SPEECH RECEPTION THRESHOLD MEASUREMENT IN COCHLEAR IMPLANT USERS
Xi Chen, Kang Ouyang, Mingyue Shi, Huali Zhou, Nengheng Zheng, Shenzhen University, China; Yefei Mo, Qinglin Meng, South China University of Technology, China; Yupeng Shi, Wei Xiao, Shidong Shang, Tencent, China
SS-15.5: A domain transfer based data augmentation method for automated respiratory classification
Zijie Wang, Zhao Wang, Zhejiang University, China
SS-15.6: LEARNING YOUR HEART ACTIONS FROM PULSE: ECG WAVEFORM RECONSTRUCTION FROM PPG
Qiang Zhu, Meta, United States of America; Xin Tian, Min Wu, University of Maryland, College Park, United States of America; Chau-Wai Wong, NC State University, United States of America