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 • Yaru Wu, Fabian Suchanek, Ioana Vasilescu, Lori Lamel, Martine Adda-Decker
Speech characteristics vary from speaker to speaker.
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}.
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 • LREC 2018 • Annie Rialland, Martine Adda-Decker, Guy-Noël Kouarata, Gilles Adda, Laurent Besacier, Lori Lamel, Elodie Gauthier, Pierre Godard, Jamison Cooper-Leavitt
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • LREC 2018 • Pierre Godard, Gilles Adda, Martine Adda-Decker, Juan Benjumea, Laurent Besacier, Jamison Cooper-Leavitt, Guy-Noel Kouarata, Lori Lamel, Hélène Maynard, Markus Mueller, Annie Rialland, Sebastian Stueker, François Yvon, Marcely Zanon Boito
no code implementations • JEPTALNRECITAL 2016 • Camille Dutrey, Martine Adda-Decker, Naomi Yamaguchi
La transcription automatique de la parole obtient aujourd{'}hui des performances {\'e}lev{\'e}es avec des taux d{'}erreur qui tombent facilement en dessous de 10{\%} pour une parole journalistique.
no code implementations • JEPTALNRECITAL 2016 • Claire Pillot-Loiseau, Patrick Chawah, Ang{\'e}lique Amelot, Gr{\'e}goire Bachman, Catherine Herrgott, Martine Adda-Decker, Lise Crevier-Buchman
Quelles sont les caract{\'e}ristiques acoustiques et articulatoires des voyelles parl{\'e}es et chant{\'e}es du Cantu in Paghjella (polyphonie corse {\`a} trois voix), en fonction du chanteur, de la voyelle et de la fr{\'e}quence fondamentale ?
no code implementations • JEPTALNRECITAL 2016 • Sahar Ghannay, Yannick Est{\`e}ve, Nathalie Camelin, Camille Dutrey, Fabian Santiago, Martine Adda-Decker
Dans cet article, nous proposons d{'}{\'e}tudier leur utilisation dans une architecture neuronale pour la t{\^a}che de d{\'e}tection des erreurs au sein de transcriptions automatiques de la parole.
no code implementations • JEPTALNRECITAL 2016 • Jane Wottawa, Martine Adda-Decker
Les apprenants fran{\c{c}}ais de l{'}allemand ont des difficult{\'e}s {\`a} produire la fricative palatale sourde allemande /{\c{c}}/ (Ich-Laut) et ont tendance {\`a} la remplacer par la fricative post-alv{\'e}olaire /S/.
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.
no code implementations • LREC 2016 • Jane Wottawa, Martine Adda-Decker
The French Learners Audio Corpus of German Speech (FLACGS) was created to compare German speech production of German native speakers (GG) and French learners of German (FG) across three speech production tasks of increasing production complexity: repetition, reading and picture description.
no code implementations • LREC 2014 • Thomas Lavergne, Gilles Adda, Martine Adda-Decker, Lori Lamel
This language identification system was used to select textual data extracted from the web, in order to build a lexicon and language models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • LREC 2014 • Mohamed Ben Jannet, Martine Adda-Decker, Olivier Galibert, Juliette Kahn, Sophie Rosset
We then introduce a new metric, the Entity Tree Error Rate (ETER), to evaluate hierarchical and structured named entity detection, classification and decomposition.
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 • Cedric Gendrot, Martine Adda-Decker, Carolin Schmid
no code implementations • JEPTALNRECITAL 2012 • Camille Dutrey, Chlo{\'e} Clavel, Sophie Rosset, Ioana Vasilescu, Martine Adda-Decker
no code implementations • JEPTALNRECITAL 2012 • Martine Adda-Decker, Elisabeth Delais-Roussarie, C{\'e}cile Fougeron, C{\'e}dric Gendrot, Lori Lamel
no code implementations • LREC 2012 • David Doukhan, Sophie Rosset, Albert Rilliard, D{'}Aless, Christophe ro, Martine Adda-Decker
This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.
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