This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

Within the framework of the Carcinologic Speech Severity Index (C2SI) INCa Project, we
collected a large database of French speech recordings aiming at validating Disorder …

In the context of pathological speech, perceptual evaluation isstill the most widely used
method for intelligibility estimation. Despite being considered a staple in clinical settings, it …

Background Speech disorders impact quality of life for patients treated with oral cavity and
oropharynx cancers. However, there is a lack of uniform and applicable methods for …

The purpose of this study was to develop and test a training protocol for the perceptual
evaluation of dysphonia. A group of 38 inexperienced listeners participated in a three-phase …

The automatic prediction of speech intelligibility is a recurrent problem in the context of
pathological speech. Despite recent developments, these systems are normally applied to …

Introduction Individuals with Parkinson's disease (PD) have to deal with several aspects of
voice and speech decline and thus alteration of communication ability during the course of …

This article reports on vowel clarity metrics based on spectrotemporal modulations of speech
signals. Motivated by previous findings on the relevance of modulation-based metrics for …

Cognitive impairment (CI) affects 40–65% of patients with multiple sclerosis (MS). CI can
have a negative impact on a patient's everyday activities, such as engaging in …