Skip to main content
Aller à la page d’accueil de la Commission européenne (s’ouvre dans une nouvelle fenêtre)
français fr
CORDIS - Résultats de la recherche de l’UE
CORDIS
Contenu archivé le 2024-06-11

The role of distinctive features in speech perception and recognition

Objectif



The purpose of the proposed research is to investigate 3 basic assumptions that are commonly used in knowledge-based automatic speech recognition (ASR):
(1) the linguistic units to be recognized are distinctive features; (2) the relevant acoustic information for these features is located close to instants of consonantal opening or closure;
(3) the features must be measured in a hierarchical fashion. These assumptions will be investigated by means of two perception experiments in which listeners are presented with gated natural utterances, while they have to guess the upcoming consonant. A first experiment will lead to a description of the distribution of featural information along the time dimension. This description will enable us to reevaluate the first two assumptions. In the second experiment it will be investigated whether providing information on manner-of-articulation features changes the perception of place-of -articulation features. This is achieved through manipulation of the response set that is available to the listener.

Champ scientifique (EuroSciVoc)

Ce projet n'a pas encore été classé par EuroSciVoc.
Proposez les domaines scientifiques qui vous semblent les plus pertinents et aidez-nous à améliorer notre service de classification.

Programme(s)

Thème(s)

Appel à propositions

Données non disponibles

Régime de financement

RGI - Research grants (individual fellowships)

Coordinateur

UNIVERSITY COLLEGE LONDON
Contribution de l’UE
Aucune donnée
Coût total
Aucune donnée

Participants (1)