This article presents research on the detection of pathologies affecting speech through
automatic analysis. Voice processing has indeed been used for evaluating several diseases …

This study proposes the novel formulation of measuring emotional similarity between
speech recordings. This formulation explores the ordinal nature of emotions by comparing …

Speech-based degree of sleepiness estimation is an emerging research problem. This
paper investigates an end-to-end approach, where given raw waveform as input, a …

Abstract The Continuous Sleepiness detection task was a Sub-Challenge developed in the
2019 INTERSPEECH Computational Paralinguistics Challenge (ComParE). The associated …

Speech processing systems currently do not support the vast majority of languages, in part
due to the lack of data in low-resource languages. Cross-lingual transfer offers a compelling …

Sleepiness is a major public and personal health issue. Measuring sleepiness in patients'
everyday living conditions would represent a significant advancement in managing them …

As users increasingly rely on cloud-based computing services, it is important to ensure that
uploaded speech data re-mains private. Existing solutions rely either on server-side meth …

Atypical aspects in speech concern speech that deviates from what is commonly considered
normal or healthy. In this thesis, we propose novel methods for detection and analysis of …

In this paper, we propose an ordered time series classification framework that is robust
against missing classes in the training data, ie, during testing we can prescribe classes that …

Latest addition to the toolbox of human species is Artificial Intelligence (AI). Thus far, AI has
made significant progress in low stake low risk scenarios such as playing Go and we are …