64 citations · 109 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep Attention-based Representation Learning for Heart Sound Classification
Zhao Ren, Kun Qian, Fengquan Dong +3
Cardiovascular diseases are the leading cause of deaths and severely threaten human health in daily life. On the one hand, there have been dramatically increasing demands from both…
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview
Kun Qian, Bjorn W. Schuller, Yoshiharu Yamamoto
Computer audition (CA) has been demonstrated to be efficient in healthcare domains for speech-affecting disorders (e.g., autism spectrum, depression, or Parkinson's disease) and bo…
COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
Björn W. Schuller, Dagmar M. Schuller, Kun Qian +3
At the time of writing, the world population is suffering from more than 10,000 registered COVID-19 disease epidemic induced deaths since the outbreak of the Corona virus more than…
Learning audio sequence representations for acoustic event classification
Zixing Zhang, Ding Liu, Jing Han +2
Acoustic Event Classification (AEC) has become a significant task for machines to perceive the surrounding auditory scene. However, extracting effective representations that captur…