64 citations · 109 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
Jing Han, Kun Qian, Meishu Song +11
The COVID-19 outbreak was announced as a global pandemic by the World Health Organisation in March 2020 and has affected a growing number of people in the past few weeks. In this c…
deepSELF: An Open Source Deep Self End-to-End Learning Framework
Tomoya Koike, Kun Qian, Björn W. Schuller +1
We introduce an open-source toolkit, i.e., the deep Self End-to-end Learning Framework (deepSELF), as a toolkit of deep self end-to-end learning framework for multi-modal signals.…
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…