At the time of writing this article, the world population is suffering from more than 2 million
registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona …

Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

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 …

Dementia is a neurodegenerative disease that leads to cognitive and (eventually) physical
impairments. Individuals who are affected by dementia experience deterioration in their …

The paper describes a multimodal approach to the automated recognition of Alzheimer's
dementia in order to solve the ADReSS (Alzheimer's Dementia Recognition through …

This paper describes deep learning approaches for the Mask and Breathing Sub-
Challenges (SCs), which are addressed by the INTERSPEECH 2020 Computational …

Recent years have seen rapid technological development of devices that can record
communicative behavior as participants go about daily life. This paper is intended as an end …

Deep neural speech and audio processing systems have a large number of trainable
parameters, a relatively complex architecture, and require a vast amount of training data and …

Computer audition (CA) has experienced a fast development in the past decades by
leveraging advanced signal processing and machine learning techniques. In particular, for …