Yannick Estève

AI Chat

Featured Co-authors

Laurent Besacier
68 publications
Titouan Parcollet
34 publications
Loïc Barrault
30 publications
Natalia Tomashenko
26 publications
François Portet
23 publications
Themos Stafylakis
21 publications
Didier Schwab
18 publications
Jean-Francois Bonastre
17 publications
Antoine Laurent
17 publications
Fethi Bougares
17 publications
Marco Dinarelli
16 publications

research

∙ 09/11/2023

LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech

Self-supervised learning (SSL) is at the origin of unprecedented improve...

0 Titouan Parcollet, et al. ∙

research

∙ 07/03/2023

Semantic enrichment towards efficient speech representations

Over the past few years, self-supervised learned speech representations ...

0 Gaëlle Laperrière, et al. ∙

research

∙ 06/29/2023

Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data

We propose a method for speech-to-speech emotionpreserving translation t...

0 Jarod Duret, et al. ∙

research

∙ 06/01/2023

Some voices are too common: Building fair speech recognition systems using the Common Voice dataset

Automatic speech recognition (ASR) systems become increasingly efficient...

0 Lucas Maison, et al. ∙

research

∙ 04/20/2023

OLISIA: a Cascade System for Spoken Dialogue State Tracking

Though Dialogue State Tracking (DST) is a core component of spoken dialo...

0 Léo Jacqmin, et al. ∙

research

∙ 03/14/2023

Improving Accented Speech Recognition with Multi-Domain Training

Thanks to the rise of self-supervised learning, automatic speech recogni...

0 Lucas Maison, et al. ∙

research

∙ 02/20/2023

Federated Learning for ASR based on Wav2vec 2.0

This paper presents a study on the use of federated learning to train an...

0 Tuan Nguyen, et al. ∙

research

∙ 10/11/2022

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

In this paper we examine the use of semantically-aligned speech represen...

0 Gaëlle Laperrière, et al. ∙

research

∙ 05/04/2022

ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks

This paper describes the ON-TRAC Consortium translation systems develope...

2 Marcely Zanon Boito, et al. ∙

research

∙ 04/04/2022

A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems

Self-supervised models for speech processing emerged recently as popular...

0 Marcely Zanon Boito, et al. ∙

research

∙ 04/02/2022

End-to-end model for named entity recognition from speech without paired training data

Recent works showed that end-to-end neural approaches tend to become ver...

12 Salima Mdhaffar, et al. ∙

research

∙ 01/13/2022

Speech Resources in the Tamasheq Language

In this paper we present two datasets for Tamasheq, a developing languag...

9 Marcely Zanon Boito, et al. ∙

research

∙ 11/07/2021

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition

The widespread of powerful personal devices capable of collecting voice ...

0 Salima Mdhaffar, et al. ∙

research

∙ 11/06/2021

Privacy attacks for automatic speech recognition acoustic models in a federated learning framework

This paper investigates methods to effectively retrieve speaker informat...

0 Natalia Tomashenko, et al. ∙

research

∙ 06/24/2021

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

Spoken language understanding (SLU) topic has seen a lot of progress the...

0 Sahar Ghannay, et al. ∙

research

∙ 04/29/2021

Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation

Boosted by the simultaneous translation shared task at IWSLT 2020, promi...

0 Ha Nguyen, et al. ∙

research

∙ 04/23/2021

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

Self-Supervised Learning (SSL) using huge unlabeled data has been succes...

0 Solene Evain, et al. ∙

research

∙ 03/04/2021

An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies

This paper proposes a decoding strategy for end-to-end simultaneous spee...

0 Ha Nguyen, et al. ∙

research

∙ 02/01/2021

End2End Acoustic to Semantic Transduction

In this paper, we propose a novel end-to-end sequence-to-sequence spoken...

0 Valentin Pelloin, et al. ∙

research

∙ 11/18/2020

On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition

Pre-training for feature extraction is an increasingly studied approach ...

0 Manon Macary, et al. ∙

research

∙ 07/30/2020

Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization

Supervised approaches for Neural Abstractive Summarization require large...

0 Paul Tardy, et al. ∙

research

∙ 07/15/2020

Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation

Summarizing texts is not a straightforward task. Before even considering...

0 Paul Tardy, et al. ∙

research

∙ 05/24/2020

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

This paper describes the ON-TRAC Consortium translation systems develope...

0 Maha Elbayad, et al. ∙

research

∙ 03/15/2020

Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models

In this paper we investigate the GMM-derived (GMMD) features for adaptat...

0 Natalia Tomashenko, et al. ∙

research

∙ 02/14/2020

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

This work investigates the embeddings for representing dialog history in...

0 Natalia Tomashenko, et al. ∙

research

∙ 10/30/2019

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

This paper describes the ON-TRAC Consortium translation systems develope...

0 Ha Nguyen, et al. ∙

research

∙ 09/29/2019

Recent Advances in End-to-End Spoken Language Understanding

This work investigates spoken language understanding (SLU) systems in th...

0 Natalia Tomashenko, et al. ∙

research

∙ 06/18/2019

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

We present an end-to-end approach to extract semantic concepts directly ...

0 Antoine Caubrière, et al. ∙

research

∙ 05/30/2018

End-to-end named entity extraction from speech

Named entity recognition (NER) is among SLU tasks that usually extract s...

0 Sahar Ghannay, et al. ∙

research

∙ 05/12/2018

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

In this paper, we present TED-LIUM release 3 corpus dedicated to speech ...

0 François Hernandez, et al. ∙

research

∙ 05/26/2017

ASR error management for improving spoken language understanding

This paper addresses the problem of automatic speech recognition (ASR) e...

0 Edwin Simonnet, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world