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
15 papers · 1 filter
Exploring ASR-Based Wav2Vec2 for Automated Speech Disorder Assessment: Insights and Analysis
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
With the rise of SSL and ASR technologies, the Wav2Vec2 ASR-based model has been fine-tuned for automated speech disorder quality assessment tasks, yielding impressive results and…
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation
Jarod Duret, Yannick Estève, Titouan Parcollet
Recent advancements in textless speech-to-speech translation systems have been driven by the adoption of self-supervised learning techniques. Although most state-of-the-art systems…
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context
Tuan Nguyen, Corinne Fredouille, Alain Ghio +2
Automatic speech quality assessment has raised more attention as an alternative or support to traditional perceptual clinical evaluation. However, most research so far only gains g…
Some voices are too common: Building fair speech recognition systems using the Common Voice dataset
Lucas Maison, Yannick Estève
Automatic speech recognition (ASR) systems become increasingly efficient thanks to new advances in neural network training like self-supervised learning. However, they are known to…
OLISIA: a Cascade System for Spoken Dialogue State Tracking
Léo Jacqmin, Lucas Druart, Yannick Estève +3
Though Dialogue State Tracking (DST) is a core component of spoken dialogue systems, recent work on this task mostly deals with chat corpora, disregarding the discrepancies between…
Stabilising and accelerating light gated recurrent units for automatic speech recognition
Adel Moumen, Titouan Parcollet
The light gated recurrent units (Li-GRU) is well-known for achieving impressive results in automatic speech recognition (ASR) tasks while being lighter and faster to train than a s…