Gilles Pouchoulin


Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer
Corine Astésano | Mathieu Balaguer | Jérôme Farinas | Corinne Fredouille | Pascal Gaillard | Alain Ghio | Imed Laaridh | Muriel Lalain | Benoît Lepage | Julie Mauclair | Olivier Nocaudie | Julien Pinquier | Oriol Pont | Gilles Pouchoulin | Michèle Puech | Danièle Robert | Etienne Sicard | Virginie Woisard
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles
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
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents the TYPALOC corpus of French Dysarthric and Healthy speech and the rationale underlying its constitution. The objective is to compare phonetic variation in the speech of dysarthric vs. healthy speakers in different speech conditions (read and unprepared speech). More precisely, we aim to compare the extent, types and location of phonetic variation within these different populations and speech conditions. The TYPALOC corpus is constituted of a selection of 28 dysarthric patients (three different pathologies) and of 12 healthy control speakers recorded while reading the same text and in a more natural continuous speech condition. Each audio signal has been segmented into Inter-Pausal Units. Then, the corpus has been manually transcribed and automatically aligned. The alignment has been corrected by an expert phonetician. Moreover, the corpus benefits from an automatic syllabification and an Automatic Detection of Acoustic Phone-Based Anomalies. Finally, in order to interpret phonetic variations due to pathologies, a perceptual evaluation of each patient has been conducted. Quantitative data are provided at the end of the paper.


Détection automatique de zones de déviance dans la parole dysarthrique : étude des bandes de fréquences (Abnormal Zone Detection in Dysarthric Speech Utterances according to Frequency Bands) [in French]
Corinne Fredouille | Gilles Pouchoulin
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP


The DesPho-APaDy Project: Developing an Acoustic-phonetic Characterization of Dysarthric Speech in French
Cécile Fougeron | Lise Crevier-Buchman | Corinne Fredouille | Alain Ghio | Christine Meunier | Claude Chevrie-Muller | Jean-Francois Bonastre | Antonia Colazo Simon | Céline Delooze | Danielle Duez | Cédric Gendrot | Thierry Legou | Nathalie Levèque | Claire Pillot-Loiseau | Serge Pinto | Gilles Pouchoulin | Danièle Robert | Jacqueline Vaissiere | François Viallet | Coralie Vincent
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper presents the rationale, objectives and advances of an on-going project (the DesPho-APaDy project funded by the French National Agency of Research) which aims to provide a systematic and quantified description of French dysarthric speech, over a large population of patients and three dysarthria types (related to the parkinson's disease, the Amyotrophic Lateral Sclerosis disease, and a pure cerebellar alteration). The two French corpora of dysarthric patients, from which the speech data have been selected for analysis purposes, are firstly described. Secondly, this paper discusses and outlines the requirement of a structured and organized computerized platform in order to store, organize and make accessible (for selected and protected usage) dysarthric speech corpora and associated patients’ clinical information (mostly disseminated in different locations: labs, hospitals, …). The design of both a computer database and a multi-field query interface is proposed for the clinical context. Finally, advances of the project related to the selection of the population used for the dysarthria analysis, the preprocessing of the speech files, their orthographic transcription and their automatic alignment are also presented.