97 citations
- Nantes UniversitéFR152 papers
- Centre National de la Recherche ScientifiqueFR44 papers
- École Centrale de NantesFR28 papers
- IMT AtlantiqueFR23 papers
- Laboratoire Informatique d'AvignonFR8 papers
- Centre Hospitalier Universitaire de NantesFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Université Paris-SaclayFR5 papers
- Adam Mickiewicz University in PoznańPL4 papers
- International Research Center for Japanese StudiesJP4 papers
- Japanese-French Laboratory for InformaticsJP4 papers
- Laboratoire Cognition, Langues, Langage, ErgonomieFR4 papers
21 papers · 1 filter
A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition applied on French Language
Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa +1
The performance of end-to-end automatic speech recognition (ASR) systems enables their increasing integration into numerous applications. While there are various benefits to such s…
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…
Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
Koena Ronny Mabokela, Tim Schlippe, Mpho Raborife +1
Sentiment analysis is a helpful task to automatically analyse opinions and emotions on various topics in areas such as AI for Social Good, AI in Education or marketing. While many…
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…
MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation
Adrien Bazoge
This work introduces MediQAl, a French medical question answering dataset designed to evaluate the capabilities of language models in factual medical recall and reasoning over real…