no code implementations • 8 Dec 2020 • 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 body sound-affecting abnormalities (e. g., abnormal bowel sounds, heart murmurs, or snore sounds).
no code implementations • 11 May 2020 • Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto
To the best of our knowledge, it is the first public toolkit assembling a series of state-of-the-art deep learning technologies.
no code implementations • 30 Apr 2020 • Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller
In particular, by analysing speech recordings from these patients, we construct audio-only-based models to automatically categorise the health state of patients from four aspects, including the severity of illness, sleep quality, fatigue, and anxiety.