Emmanuelle Billard – Page 14 – Laboratoire d'Informatique de l'Université du Mans

Explicabilité et Interprétabilité des modèles IA : concepts, approches et adaptabilité au domaine du traitement de la parole

Seminar from Jean-François Bonastre, professor at LIA, Avignon Université Date: 03/09/2021 Time: 14h00 Localization: IC2 Boardroom, online Speaker: Jean-François Bonastre Explicability and Interpretability of AI models: concepts, approaches and adaptability to the domain of speech processing This presentation proposes to define the notions of explicability and interpretability in AI and to give […]

Paul Tardy

LST

PhD defence, Paul Tardy Date : 12/07/2021 Time : 9h00 Location : online Title: Neural Approaches for Abstractive Summarization of Speech Transcription Jury members: Ms. Sophie Rosset, Research Director, LISN, Reviewer Mr. Alexandre Allauzen, Professor, LAMSADE, Paris, Reviewer Mr. Sylvain Meignier, Professor, LIUM, Le Mans University, Examiner Mr. Alexis Nasr, Professeur, LIS, Examiner Mr. […]

Offre de thèse : Automatic diagnosis of errors of end-to-end speech transcription systems from users perspective

LIA, LST

Open PhD position: Automatic diagnosis of errors of end-to-end speech transcription systems from users perspective Main laboratory: Laboratoire Informatique d’Avignon (LIA) Supervisors: Richard Dufour (LIA, Avignon University) and Jane Wottawa (LIUM, Le Mans University) Start time: September 2021 Project context This Ph.D. position is part of the French research project DIETS (Automatic diagnosis of […]

Offre de thèse: Apprentissage actif, interprétation et contrôle pour la synthèse neuronale de parole expressive

LIA, LST

Open PhD position: Active learning, interpretation and control for neural synthesis of expressive speech Host Laboratory : Laboratoire Informatique de l’Université du Mans (LIUM), team LST PhD Director : Anthony Larcher, (LIUM, Le Mans Université) Co-supervisors : Yannick Estève (LIA, Avignon Université), Marie Tahon (LIUM, Le Mans Université) Contact : firstname.name@univ-lemans.fr and firstname.name@univ-avignon.fr, respectively starting […]

Joint effort on data loading process and its application to VAD, speaker turn detection and overlap detection

LST

Seminar from Martin Lebourdais and Théo Mariotte, PhD students at LIUM Date: 18/06/2021 Time: 11h00 Localization:IC2 Salle des conseils, online Speakers: Martin Lebourdais and Théo Mariotte Joint effort on data loading process and its application to VAD, speaker turn detection and overlap detection Diarization is the task of finding “Who spoke when?” […]

The LIUM Human Active Correction Platform for Speaker Diarization

LST

The LIUM Human Active Correction Platform for Speaker Diarization The human assisted speaker diarization platform enables a human annotator to correct the output of any speaker diarization system by providing a graphical view of the diarization segmentation and clustering steps and guiding the human annotator to optimize the correction process and easily improve […]

Human assisted speaker diarization, approach and demonstrator

LST

Seminar from diarization team Date: 21/05/2021 Time: 11h00 Localization: online Speakers: Meysam Shamsi, Yevhenii Prokopalo and Anthony Larcher Human assisted speaker diarization, approach and demonstrator ALLIES and ESPERANTO projects are targeting human assisted speaker diarization across time. To address this task step by step, our team proposes a within-show human assisted correction […]

End2End Acoustic to Semantic Transduction

LST

Seminar from Valentin Pelloin, PhD student at LIUM Date: 12/05/2021 Time: 11h00 Localization: online Speaker: Valentin Pelloin End2End Acoustic to Semantic Transduction We propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism. It reliably selects contextual acoustic features in order to hypothesize semantic contents. An initial architecture capable […]

Best paper award, IDA 2021

LST

The paper SINr: fast computing of Sparse Interpretable Node Representations is not a sin! recieved the best paper award at the 19th Symposium on Intelligent Data Analysis (IDA 2021). Congrats to Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, Nathalie Camelin and Sylvain Meignier !

SINr: fast computing of Sparse Interpretable Node Representations is not a sin!

LST

Seminar from Thibault Prouteau, PhD student at LIUM Date: 19/04/2021 Time: 11h00 Localization: online Speaker: Thibault Prouteau SINr: fast computing of Sparse Interpretable Node Representations is not a sin! While graph embedding aims at learning low-dimensional representations of nodes encompassing the graph topology, word embedding focus on learning word vectors that encode […]