An Experiment in Paratone Detection in a Prosodically Annotated EAP Spoken Corpus - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2021

An Experiment in Paratone Detection in a Prosodically Annotated EAP Spoken Corpus

Résumé

This article describes an experiment in paratone detection based on a spoken corpus of English for Academic Purposes (EAP) recently automatically re-annotated with prosodic information. The Momel and INTSINT annotations were carried out using SPPAS. The EIIDA corpus was chosen as it offered long uninterrupted stretches of speech of academic presentations. We describe the clustering method adopted for automatic detection, contrasting a supervised and an unsupervised method of paratone boundary detection. We showcase the relevance of the annotation scheme followed for this corpus and contribute to the investigation of the phonostyle of lecture delivery. We discuss the relevance of clustering methods applied to the labels of the pitch targets for the analysis of paratones.

Domaines

Linguistique
Fichier principal
Vignette du fichier
meli21_interspeech.pdf (1000.38 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03375609 , version 1 (15-10-2021)

Identifiants

Citer

Adrien Méli, Nicolas Ballier, Achille Falaise, Alice Henderson. An Experiment in Paratone Detection in a Prosodically Annotated EAP Spoken Corpus. Proc. Interspeech 2021, Proc. Interspeech 2021, ISCA, pp.2616-2620, 2021, ⟨10.21437/Interspeech.2021-294⟩. ⟨hal-03375609⟩
44 Consultations
127 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More