514 citations
- Université d'Avignon et des Pays de VaucluseFR46 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Institut national de recherche en sciences et technologies du numériqueFR12 papers
- Nantes UniversitéFR12 papers
- Laboratoire des Sciences du Numérique de NantesFR10 papers
- EURECOMFR8 papers
- Le Mans UniversitéFR7 papers
- Centre Inria d'Université Côte d'AzurFR6 papers
- McGill UniversityCA6 papers
- National Institute of InformaticsJP6 papers
- Polytechnique MontréalCA6 papers
- University of CambridgeGB6 papers
143 papers
A Paradigm for Interpreting Metrics and Identifying Critical Errors in Automatic Speech Recognition
Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa +1
The most commonly used metrics for evaluating automatic speech transcriptions, namely Word Error Rate (WER) and Character Error Rate (CER), have been heavily criticized for their p…
HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
Thibault Bañeras Roux, Jane Wottawa, Mickael Rouvier +2
Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word e…
ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks
Haroun Elleuch, Youssef Saidi, Salima Mdhaffar +2
This paper describes Elyadata \& LIA's joint submission to the NADI multi-dialectal Arabic Speech Processing 2025. We participated in the Spoken Arabic Dialect Identification (ADI)…
An Empirical Analysis of Discrete Unit Representations in Speech Language Modeling Pre-training
Yanis Labrak, Richard Dufour, Mickaël Rouvier
This paper investigates discrete unit representations in Speech Language Models (SLMs), focusing on optimizing speech modeling during continual pre-training. In this paper, we syst…
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
Paul-Gauthier Noé, Andreas Nautsch, Driss Matrouf +2
While calibration of probabilistic predictions has been widely studied, this paper rather addresses calibration of likelihood functions. This has been discussed, especially in biom…
Pattern-Based Graph Classification: Comparison of Quality Measures and Importance of Preprocessing
Lucas Potin, Rosa Figueiredo, Vincent Labatut +1
Graph classification aims to categorize graphs based on their structural and attribute features, with applications in diverse fields such as social network analysis and bioinformat…