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

Imed Laaridh (1, 2) , Corinne Fredouille (1) , Christine Meunier (2)

1 LIA - Laboratoire Informatique d'Avignon
2 LPL - Laboratoire Parole et Langage

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. Such methods include different tasks such as read speech, spontaneous speech, isolated words, sustained vowels, etc. In this context, automatic speech processing tools have proven pertinence in speech quality evaluation and assistive technology-based applications. Though, a very few studies have investigated the use of automatic tools on spontaneous speech. This paper investigates the behavior of an automatic phone-based anomaly detection system when applied on read and spontaneous French dysarthric speech. The behavior of the automatic tool reveals interesting inter-pathology differences across speech styles.

Mots clés: Dysarthria; automatic speech processing; anomaly detection; read speech; spontaneous speech; speech disorders

Domaines: Informatique [cs]

Imed Laaridh, Corinne Fredouille, Christine Meunier. Automatic Anomaly Detection for Dysarthria Across Two Speech Styles: Read vs Spontaneous Speech. 10th Language Resources and Evaluation Conference, LREC 2016, May 2016, Portoroz, Slovenia. ⟨hal-01420956⟩