The 1st Workshop on Child, Computer and Interaction (WOCCI2008)

Chania, Crete, Greece
October 23, 2008

Automatic Prosodic Disorders Analysis for Impaired Communication Children

Fabien Ringeval (1), Mohamed Chetouani (1), David Sztahó (2), Klara Vicsi (2)

(1) Institute of Intelligent Systems and Robotic, Pierre et Marie Curie University (Paris 6), France
(2) Laboratory of Speech Acoustics, Budapest University of Technology and Economics, TMIT, Budapest, Hungary

This paper is devoted to the study of a pseudo-phonetic approach to characterize prosodic disorders of children with impaired communication skills. To this purpose, we have designed with the help of the clinicians’ staff a database containing autistic children. Another database with non disordered speech is used as a control one. Concerning the characterization of the prosodic disorders, we extract the features from phonemic units such as vowels. These segments are provided by a pseudo-phonetic speech segmentation phase combined with a vowel detector. Since the pseudo-phonetic segments convey a lot of prosodic features, such as duration and rhythm, many differentiations can be made between children from the two studied databases. As a conclusion, correlations between prosodic particularities got in this study and those described in the literature are given.

Full Paper

Bibliographic reference.  Ringeval, Fabien / Chetouani, Mohamed / Sztahó, David / Vicsi, Klara (2008): "Automatic prosodic disorders analysis for impaired communication children", In WOCCI-2008, paper 03.