Application of Automatic Speaker Recognition techniques to pathological voice assessment (dysphonia) - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2005

Application of Automatic Speaker Recognition techniques to pathological voice assessment (dysphonia)

Résumé

This paper investigates the adaptation of Automatic Speaker Recognition (ASR) techniques to the pathological voice assessment (dysphonic voices). The aim of this study is to provide a novel method, suitable for keeping track of the evolution of the patient's pathology: easy-to-use, fast, non-invasive for the patient, and affordable for the clinicians. This method will be complementary to the existing ones - the perceptual judgment and the usual objective measurement (jitter, airflows...) which remain time and human resource consuming. The system designed for this particular task relies on the GMMbased approach, which is the state-of-the-art for speaker recognition. It is derived from the open source ASR tools (LIA_Spk- Det and ALIZE) of the LIA lab.Experiments conducted on a dysphonic corpus provide promising results, underlining the interest of such an approach and opening further research investigation.
Fichier principal
Vignette du fichier
2183.pdf (44.59 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00136765 , version 1 (15-03-2007)

Identifiants

  • HAL Id : hal-00136765 , version 1

Citer

Corinne Fredouille, Gilles Pouchoulin, Jean-François Bonastre, Marion Azzarello, Antoine Giovanni, et al.. Application of Automatic Speaker Recognition techniques to pathological voice assessment (dysphonia). Interspeech, 2005, Lisboa, France. pp.149-152. ⟨hal-00136765⟩
584 Consultations
480 Téléchargements

Partager

Gmail Facebook X LinkedIn More