Using a Knowledge Base to Automatically Annotate Speech Corpora and to Identify Sociolinguistic Variation

no code implementations • LREC 2022 • Yaru Wu, Fabian Suchanek, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker

Speech characteristics vary from speaker to speaker.

Extracting Linguistic Knowledge from Speech: A Study of Stop Realization in 5 Romance Languages

no code implementations • LREC 2022 • Yaru Wu, Mathilde Hutin, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker

This paper builds upon recent work in leveraging the corpora and tools originally used to develop speech technologies for corpus-based linguistic studies.

speech-recognition Speech Recognition

R\'eduction temporelle en fran\ccais spontan\'e : o\`u se cache-t-elle ? Une \'etude des segments, des mots et s\'equences de mots fr\'equemment r\'eduits ()

no code implementations • JEPTALNRECITAL 2020 • Yaru Wu, Martine Adda-Decker

Cette m{\'e}thode est appliqu{\'e}e pour {\'e}tudier la r{\'e}duction temporelle en fran{\c{c}}ais spontan{\'e}.

R\^ole des contextes lexical et post-lexical dans la r\'ealisation du schwa : apports du traitement automatique de grands corpus (Role of lexical and post-lexical contexts in French schwa realisations : benefits of automatic processing of large corpora )

no code implementations • JEPTALNRECITAL 2016 • Yaru Wu, Martine Adda-Decker, C{\'e}cile Fougeron

Le r{\^o}le du contexte est connu dans la r{\'e}alisation ou non du schwa en fran{\c{c}}ais.