Séminaire Salima Mdhaffar

Seminar from Salima Mdhaffar, postdoc at LIA, Avignon University   Date: 25/11/2022 Time: 11h00 Localization: IC2 auditorium, and online Speakers: Salima Mdhaffar     End-to-end model for named entity recognition from speech without paired training data   Recent works showed that end-to-end neural approaches tend to become very popular for spoken language understanding (SLU). Through […]

Café Thèse : dans Baltimore il y a AI

There’s AI in Baltimore Thibault Gaudier and Valentin Pelloin present their work done during the JSALT workshop at JHU in Baltimore during a café-thèse, on Le Mans campus. This stay was carried out within the framework of the project ESPERANTO. In 2023, the JSALT workshop will be organized in Le Mans.    

Hugo Riguidel

Resource-constrained multilingual speech translationStarting: 01/11/2022PhD Student: Hugo RiguidelAdvisor(s): Antoine Laurent (LIUM)Co-advisor(s): Anthony Larcher (LIUM), Josep Crego (Systran)Funding: CIFRE – ministère de l’Enseignement supérieur, de la Recherche et de l’InnovationContext This thesis work is in the field of automatic language processing and more specifically in automatic speech translation. The usefulness of machine translation for the community […]

Séminaire Julien Hauret

Seminar from Julien Hauret, PhD students at LMSSC (CNAM de Paris)   Date: 10/11/2022 Time: 11h00 Localization: IC2 auditorium, and online Speakers: Julien Hauret     Extension of the bandwidth for voice signals captured by noise-proof microphones   Speech recording is traditionally performed using microphones located near the speaker’s lips. However, this sound capture is […]

Offre de stage M2 : Classification des émotions vocales à l’aide d’un modèle de régression sur la représentation dimensionnelle

Speech emotion classification using regression model on dimensional representation Encadrant(e)s: Meysam SHAMSI Host laboratory: LIUM place: Le Mans Contact : Meysam.Shamsi(at)univ-lemans.fr Application: Send CV + cover letter to Meysam Shamsi before November 18, 2022.   Problem: There are two main approaches for modeling emotion recognition problem. Emotions can be categorized with different labels [1] such […]

Offre de stage M2 : Apprentissage continu pour l’évaluation objective de la parole synthétique

Continuous learning for objective evaluation of synthetic speech Encadrant(e)s: Meysam SHAMSI Host laboratory: LIUM place: Le Mans Contact : Meysam.Shamsi(at)univ-lemans.fr Application: Send CV + cover letter to Meysam Shamsi before November 18, 2022.   Context and objectives: The main objective of a text-to-speech (TTS) system and a speech conversion system is to synthesize or generate […]

Thomas Thébaud

PhD defence, Thomas Thébaud Date : 21/10/2022 Time : 9h45 Location : IC2, Le Mans University   Title : Spoofing attacks using behavioural biometric data reconstruction and statistical alignments   Jury members : Najim DEHAK, Associate Professor, Johns Hopkins Whiting School of Engineering, Reviewer Sébastien MARCEL, Professeur, IDIAP, Reviewer Ruben VERA-RODRIGUEZ, Associate Professor, Universidad de […]

Yevhenii Prokopalo

PhD defence, Yevhenii Prokopalo Date : 20/10/2022 Time : 14h00 Location : IC2, Boardroom and online   Title : Human assisted correction for speaker diarization of an incremental collection of documents   Jury members : Claude BARRAS, Chercheur, HDR, Vocapia, Reviewer Corinne FREDOUILLE, Professeur, LIA, Avignon, Reviewer Sophie ROSSSET, Professeur, Université Paris Saclay, Examiner Hervé […]

Séminaires Valentin Pelloin et Martin Lebourdais

Seminar from Valentin Pelloin and Martin Lebourdais, PhD students at LIUM   Date: 14/10/2022 Time: 11h00 Localization: IC2 Boardroom, Speakers: Valentin Pelloin et Martin Lebourdais       ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks Valentin Pelloin We aim at improving spoken language modeling (LM) using very large amount of automatically transcribed […]

Simon Guillot

Interpretability of embeddingsStarting: 01/10/2022PhD Student: Simon GuillotAdvisor(s): Antoin Laurent (LIUM) Co-advisor(s): Nicolas Dugué (LIUM), Mathieu Valette (INALCO)Funding: ANR DIGINGDescritpion Les approches de plongements lexicaux (word embedding en anglais) ont pour objectif de représenter le vocabulaire de la langue sous forme de vecteurs intelligibles par la machine. En particulier, l’une des hypothèses derrière le succès de […]