Speech is a rich biomarker that encodes substantial information about the health of a
speaker, and thus it has been proposed for the detection of numerous diseases, achieving …

The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams
of scientists from a broad range of disciplines have searched for methods to help …

In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep
learning, is proposed. The method is based on modeling the spontaneous behavior of …

Using Deep Learning methods might be a proper answer to the need of the world for a fast,
automatic solution for COVID-19 early-stage diagnosis. This article tries to take advantage of …

A respiratory distress estimation technique for telephony previously proposed by the authors
is adapted and evaluated in real static and dynamic HRI scenarios. The system is evaluated …

Since the COVID-19 outbreak, a major scientific effort has been made by researchers and
companies worldwide to develop a digital diagnostic tool to screen this disease through …

The COVID-19 pandemic has changed the daily lives of all people worldwide, affecting not
only society but also various sectors such as finance, tourism, etc. To counteract the …

We explore the integration of audio enhancement into a speech-based COVID-19 detection
system in an attempt to make speech captured in noisy environments from everyday life …

Research efforts have demonstrated promising results employing artificial intelligence to
detect COVID-19 with respiratory sounds, but these experimental milestones have not …

This paper addresses issues on cough-based COVID-19 detection. We propose a cross-
dataset transfer learning approach to improve the performance of COVID-19 detection by …