Analysing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?

Abstract : Ambient Assisted Living aims at providing assistance by allowing people with special needs to perform tasks which they have increasing difficulty with and to provide reassurance through surveillance in order to detect distress and accidental falls. Aged people are among the ones who might benefit from advances in ICT to live as long as possible in their own home. Voice-base smart home is a promising way to provide AAL, but even mature technologies must be evaluated from the perspec- tive of its potential beneficiaries. In this paper, we investigate which characteristics of the ageing voice that challenge a state of the art ASR system. Though in the literature, chronological age is retain as the sole factor predicting decrease in performance, we show that degree of loss of autonomy is even more correlated to ASR performance.
Type de document :
Communication dans un congrès
4th Workshop on Speech and Language Processing for Assistive Technologies, Aug 2013, Grenoble, France. pp.9-15, 2013
Liste complète des métadonnées

Littérature citée [36 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00953243
Contributeur : Michel Vacher <>
Soumis le : vendredi 28 février 2014 - 11:02:36
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03
Document(s) archivé(s) le : mercredi 28 mai 2014 - 11:11:30

Fichier

2013_SLPAT_Aman_proceedings.pd...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00953243, version 1

Citation

Frédéric Aman, Michel Vacher, Solange Rossato, François Portet. Analysing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?. 4th Workshop on Speech and Language Processing for Assistive Technologies, Aug 2013, Grenoble, France. pp.9-15, 2013. 〈hal-00953243〉

Partager

Métriques

Consultations de la notice

330

Téléchargements de fichiers

134