The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools

no code implementations • LREC 2022 • Gaëlle Laperrière, Valentin Pelloin, Antoine Caubrière, Salima Mdhaffar, Nathalie Camelin, Sahar Ghannay, Bassam Jabaian, Yannick Estève

In this paper, we focus on the French MEDIA SLU dataset, distributed since 2005 and used as a benchmark dataset for a large number of research works.

Intent Detection Spoken Language Understanding

Semantic enrichment towards efficient speech representations

no code implementations • 3 Jul 2023 • Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève

Over the past few years, self-supervised learned speech representations have emerged as fruitful replacements for conventional surface representations when solving Spoken Language Understanding (SLU) tasks.

Spoken Language Understanding

On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding

no code implementations • 11 Oct 2022 • Gaëlle Laperrière, Valentin Pelloin, Mickaël Rouvier, Themos Stafylakis, Yannick Estève

In this paper we examine the use of semantically-aligned speech representations for end-to-end spoken language understanding (SLU).

Sentence Sentence Embedding +2

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

no code implementations • 24 Jun 2021 • Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar, Gaëlle Laperrière, Bassam Jabaian, Yannick Estève

More recent works on self-supervised training with unlabeled data open new perspectives in term of performance for automatic speech recognition and natural language processing.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +7