Sur l'utilisation de la reconnaissance automatique de la parole pour l'aide au diagnostic diff\'erentiel entre la maladie de Parkinson et l'AMS (On using automatic speech recognition for the differential diagnosis of Parkinson's Disease and MSA This article presents a study regarding the contribution of automatic speech processing in the differential diagnosis between Parkinson's disease and MSA (Multi-System Atrophies))

no code implementations • JEPTALNRECITAL 2020 • Imed Laaridh, Julie Mauclair

Des mesures automatiques caract{\'e}risant la qualit{\'e} de la reconnaissance automatique de la parole ainsi que la prosodie des patients ont montr{\'e} un int{\'e}r{\^e}t pour la caract{\'e}risation des pathologies {\'e}tudi{\'e}es et peuvent {\^e}tre consid{\'e}r{\'e}es comme un outil potentiel pour l{'}aide {\`a} leur diagnostic diff{\'e}rentiel.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Dysarthric speech evaluation: automatic and perceptual approaches

no code implementations • LREC 2018 • Imed Laaridh, Christine Meunier, Corinne Fredouille

Anomaly Detection

Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer

no code implementations • LREC 2018 • Corine Ast{\'e}sano, Mathieu Balaguer, J{\'e}r{\^o}me Farinas, Corinne Fredouille, Pascal Gaillard, Alain Ghio, Imed Laaridh, Muriel Lalain, Beno{\^\i}t Lepage, Julie Mauclair, Olivier Nocaudie, Julien Pinquier, Oriol Pont, Gilles Pouchoulin, Mich{\`e}le Puech, Dani{\`e}le Robert, Etienne Sicard, Virginie Woisard

D\'etection automatique d'anomalies sur deux styles de parole dysarthrique: parole lue vs spontan\'ee (Automatic anomaly detection for dysarthria across two speech styles : read vs spontaneous speech)

no code implementations • JEPTALNRECITAL 2016 • Imed Laaridh, Corinne Fredouille, Meunier Christine

L{'}{\'e}valuation perceptive de la parole pathologique reste le standard dans la pratique clinique pour le diagnostic et le suivi des patients.

Anomaly Detection

Automatic Anomaly Detection for Dysarthria across Two Speech Styles: Read vs Spontaneous Speech

no code implementations • LREC 2016 • Imed Laaridh, Corinne Fredouille, Christine Meunier

Perceptive evaluation of speech disorders is still the standard method in clinical practice for the diagnosing and the following of the condition progression of patients.

Anomaly Detection

The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles

no code implementations • LREC 2016 • Christine Meunier, Cecile Fougeron, Corinne Fredouille, Brigitte Bigi, Lise Crevier-Buchman, Elisabeth Delais-Roussarie, Laurianne Georgeton, Alain Ghio, Imed Laaridh, Thierry Legou, Claire Pillot-Loiseau, Gilles Pouchoulin

The objective is to compare phonetic variation in the speech of dysarthric vs. healthy speakers in different speech conditions (read and unprepared speech).