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.
no code implementations • LREC 2022 • Natalia Kalashnikova, Serge Pajak, Fabrice Le Guel, Ioana Vasilescu, Gemma Serrano, Laurence Devillers
In this paper, we present the methodology of corpus design that will be used to study the comparison of influence between linguistic nudges with positive or negative influences and three conversational agents: robot, smart speaker, and human.
no code implementations • LREC 2022 • Yaru Wu, Fabian Suchanek, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker
Speech characteristics vary from speaker to speaker.
no code implementations • 25 Jan 2023 • Tanvi Dinkar, Chloé Clavel, Ioana Vasilescu
Disfluencies (i. e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • JEPTALNRECITAL 2020 • Mathilde Hutin, Ad{\`e}le Jatteau, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker
D{\`e}s lors, il est int{\'e}ressant de se pencher sur des ph{\'e}nom{\`e}nes phonologiques largement attest{\'e}s dans les langues en diachronie comme en synchronie pour {\'e}tablir leur {\'e}mergence ou non dans des langues qui n{'}y sont pas encore sujettes.
no code implementations • LREC 2020 • Mathilde Hutin, Oana Niculescu, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker
The present paper aims at providing a first study of lenition- and fortition-type phenomena in coda position in Romanian, a language that can be considered as less-resourced.
no code implementations • JEPTALNRECITAL 2016 • Ioana Vasilescu, Margaret Renwick, Camille Dutrey, Lori Lamel, Biana Vieru
Les objectifs sont : (1) d{\'e}crire les traits acoustiques des voyelles en fonction du style de parole ; (2) estimer la relation entre traits acoustiques et contrastes phon{\'e}miques de la langue ; (3) estimer dans quelle mesure l{'}{\'e}tude de l{'}oral apporte des {\'e}clairages au sujet des attributs phon{\'e}miques des voyelles centrales [2] et [1], dont le statut (phon{\`e}mes vs allophones) est controvers{\'e}.
no code implementations • LREC 2014 • Maria Goryainova, Cyril Grouin, Sophie Rosset, Ioana Vasilescu
The study provides an original standpoint of the speech transcription errors by focusing on the morpho-syntactic features of the erroneous chunks and of the surrounding left and right context.
no code implementations • LREC 2014 • Daniel Luzzati, Cyril Grouin, Ioana Vasilescu, Martine Adda-Decker, Eric Bilinski, Nathalie Camelin, Juliette Kahn, Carole Lailler, Lori Lamel, Sophie Rosset
This paper is concerned with human assessments of the severity of errors in ASR outputs.
no code implementations • JEPTALNRECITAL 2012 • Camille Dutrey, Chlo{\'e} Clavel, Sophie Rosset, Ioana Vasilescu, Martine Adda-Decker
no code implementations • LREC 2012 • Ioana Vasilescu, Martine Adda-Decker, Lori Lamel
It is well-known that human listeners significantly outperform machines when it comes to transcribing speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2