activity
20182026
most citedEnd-to-end named entity extraction from speech

19 citations · 51 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CL2026

Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector

Elys Allesiardo, Antoine Caubrière, Valentin Vielzeuf

This paper offers an in-depth analysis of non-sequential multimodal sentence-level embeddings, with a particular focus on the SONAR model. We demonstrate that certain embedding dim…

cs.CL2025

Scaling HuBERT for African Languages: From Base to Large and XL

Antoine Caubrière, Elodie Gauthier

Despite recent progress in multilingual speech processing, African languages remain under-represented in both research and deployed systems, particularly when it comes to strong, o…

cs.CL2025

The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach

Nizar El Ghazal, Antoine Caubrière, Valentin Vielzeuf

This paper presents a comparative study of context management strategies for end-to-end Spoken Dialog State Tracking using Speech-LLMs. We systematically evaluate traditional multi…

cs.CL2024

Africa-Centric Self-Supervised Pre-Training for Multilingual Speech Representation in a Sub-Saharan Context

Antoine Caubrière, Elodie Gauthier

We present the first self-supervised multilingual speech model trained exclusively on African speech. The model learned from nearly 60 000 hours of unlabeled speech segments in 21…

cs.CL2021

Where are we in semantic concept extraction for Spoken Language Understanding?

Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar +3

Spoken language understanding (SLU) topic has seen a lot of progress these last three years, with the emergence of end-to-end neural approaches. Spoken language understanding refer…

cs.CL2021★ 7 cited

End2End Acoustic to Semantic Transduction

Valentin Pelloin, Nathalie Camelin, Antoine Laurent +4

In this paper, we propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism. It reliably selects contextual acoustic features…

cs.CL2020

ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020

Maha Elbayad, Ha Nguyen, Fethi Bougares +5

This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2020, offline speech translation and…

cs.CL2020★ 12 cited

Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems

Natalia Tomashenko, Christian Raymond, Antoine Caubriere +2

This work investigates the embeddings for representing dialog history in spoken language understanding (SLU) systems. We focus on the scenario when the semantic information is extr…

cs.CL2019

ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task

Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito +5

This paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English-to-Portuguese language pair. ON-TRA…

cs.CL2019★ 13 cited

Recent Advances in End-to-End Spoken Language Understanding

Natalia Tomashenko, Antoine Caubriere, Yannick Esteve +2

This work investigates spoken language understanding (SLU) systems in the scenario when the semantic information is extracted directly from the speech signal by means of a single e…

cs.CL2019

Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

Antoine Caubrière, Natalia Tomashenko, Antoine Laurent +3

We present an end-to-end approach to extract semantic concepts directly from the speech audio signal. To overcome the lack of data available for this spoken language understanding…

cs.CL2018★ 19 cited

End-to-end named entity extraction from speech

Sahar Ghannay, Antoine Caubrière, Yannick Estève +2

Named entity recognition (NER) is among SLU tasks that usually extract semantic information from textual documents. Until now, NER from speech is made through a pipeline process th…