A Methodology for the Automatic Detection of Perceived Prominent Syllables in Spoken French

Fiche du document

Auteurs
Discipline
Type de document
Périmètre
Langue
Identifiants
Source

HAL SHS (Sciences de l’Homme et de la Société)

Collection

Archives ouvertes

Organisation

Centre pour la communication scientifique directe

Licence

info:eu-repo/semantics/OpenAccess

Mots-clés Fr

prosodie intonation TAL proéminence détection automatique stylisation

Sujets proches En

Philosophy--Methodology

Citer ce document

Jean-Philippe Goldman et al., « A Methodology for the Automatic Detection of Perceived Prominent Syllables in Spoken French », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.e27cd3...

Métriques

Partage / Export

Résumé En

Prosodic transcription of spoken corpora relies mainly on the identification of perceived prominence. However, the manual annotation of prominent phenomena is extremely timeconsuming, and varies greatly from one expert to another. Automating this procedure would be of great importance. In this study, we present the first results of a methodology aiming at an automatic detection of prominence syllables. It is based on 1. a spontaneous French corpus that has been manually annotated according to a strict methodology and 2. some acoustic prosodic parameters, shown to be corpus independent, that are used to detect prominent syllables. Some automatic tools, used to handle large corpora, are also described.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines