Search Results for author: Yoshiharu Yamamoto

Found 3 papers, 0 papers with code

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview

no code implementations8 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).

deepSELF: An Open Source Deep Self End-to-End Learning Framework

no code implementations11 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.

Image Generation

An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

no code implementations30 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.

Sleep Quality

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