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

Christine Meunier; Cécile 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 TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles

Christine Meunier ¹ Cécile Fougeron ² Corinne Fredouille ³ Brigitte Bigi ¹ Lise Crevier-Buchman ² Elisabeth Delais-Roussarie ⁴ Laurianne Georgeton ¹ Alain Ghio ¹ Imed Laaridh ^{1, 3} Thierry Legou ¹ Claire Pillot-Loiseau ² Gilles Pouchoulin ^{1, 3}

1 LPL - Laboratoire Parole et Langage

2 LPP - LPP - Laboratoire de Phonétique et Phonologie - UMR 7018

3 LIA - Laboratoire Informatique d'Avignon

4 LLF UMR7110 - Laboratoire de Linguistique Formelle

Abstract : 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.

Keywords : Speech Dysarthria anomaly detection Corpus speech disorders read and spontaneous speech automatic speech processing

Document type :

Conference papers

Domain :

Humanities and Social Sciences / Linguistics

Computer Science [cs] / Computation and Language [cs.CL]

Computer Science [cs] / Databases [cs.DB]

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https://halshs.archives-ouvertes.fr/halshs-01401377
Contributor : Gwénaëlle Lo Bue <>
Submitted on : Monday, October 23, 2017 - 8:49:19 PM
Last modification on : Wednesday, July 17, 2019 - 1:44:01 PM

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