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

Autor: Adrien Méli, Nicolas Ballier, Achille Falaise, Alice Henderson
Přispěvatelé: Université de Paris - Faculté des Sciences humaines et sociales [Sociétés et Humanités] (UP Faculté SHS), Université de Paris (UP), LInguistique et DIdactique des Langues Étrangères et Maternelles (LIDILEM), Université Grenoble Alpes (UGA), CORLI (Appel à Finalisation de corpus)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of Interspeech 2021
Interspeech 2021
Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.2616-2620, ⟨10.21437/Interspeech.2021-294⟩
DOI: 10.21437/Interspeech.2021-294⟩
Popis: International audience; 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.
Databáze: OpenAIRE