Laurent Besacier

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

∙ 02/13/2023

Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation

Context-aware translation can be achieved by processing a concatenation ...

5 Lorenzo Lupo, et al. ∙

research

∙ 10/24/2022

Focused Concatenation for Context-Aware Neural Machine Translation

A straightforward approach to context-aware neural machine translation c...

2 Lorenzo Lupo, et al. ∙

research

∙ 10/21/2022

A Textless Metric for Speech-to-Speech Comparison

This paper proposes a textless speech-to-speech comparison metric that a...

6 Laurent Besacier, et al. ∙

research

∙ 10/20/2022

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

In recent years, multilingual machine translation models have achieved p...

23 Alireza Mohammadshahi, et al. ∙

research

∙ 07/05/2022

ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks

We aim at improving spoken language modeling (LM) using very large amoun...

14 Valentin Pelloin, et al. ∙

research

∙ 07/04/2022

BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model

Several recent studies have tested the use of transformer language model...

3 Brooke Stephenson, et al. ∙

research

∙ 05/22/2022

What Do Compressed Multilingual Machine Translation Models Forget?

Recently, very large pre-trained models achieve state-of-the-art results...

25 Alireza Mohammadshahi, 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

∙ 10/20/2021

Multilingual Unsupervised Neural Machine Translation with Denoising Adapters

We consider the problem of multilingual unsupervised machine translation...

0 Ahmet Üstün, et al. ∙

research

∙ 06/22/2021

On the Evaluation of Machine Translation for Terminology Consistency

As neural machine translation (NMT) systems become an important part of ...

0 Md Mahfuz ibn Alam, et al. ∙

research

∙ 06/11/2021

Spoken Term Detection Methods for Sparse Transcription in Very Low-resource Settings

We investigate the efficiency of two very different spoken term detectio...

0 Éric Le Ferrand, et al. ∙

research

∙ 06/08/2021

Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings

When documenting oral-languages, Unsupervised Word Segmentation (UWS) fr...

0 Marcely Zanon Boito, et al. ∙

research

∙ 06/02/2021

Lightweight Adapter Tuning for Multilingual Speech Translation

Adapter modules were recently introduced as an efficient alternative to ...

0 Hang Le, et al. ∙

research

∙ 05/31/2021

Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?

Recent studies on the analysis of the multilingual representations focus...

0 Zae Myung Kim, 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

∙ 03/31/2021

Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources

Multi-encoder models are a broad family of context-aware Neural Machine ...

0 Lorenzo Lupo, et al. ∙

research

∙ 03/16/2021

Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning

This paper describes the results of an informal collaboration launched d...

0 Jama Hussein Mohamud, 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

∙ 02/19/2021

Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input

The prosody of a spoken word is determined by its surrounding context. I...

0 Brooke Stephenson, et al. ∙

research

∙ 11/12/2020

Enabling Interactive Transcription in an Indigenous Community

We propose a novel transcription workflow which combines spoken term det...

0 Éric Le Ferrand, et al. ∙

research

∙ 11/02/2020

Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation

We introduce dual-decoder Transformer, a new model architecture that joi...

0 Hang Le, et al. ∙

research

∙ 10/12/2020

The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units

We present the Zero Resource Speech Challenge 2020, which aims at learni...

0 Ewan Dunbar, et al. ∙

research

∙ 09/04/2020

What the Future Brings: Investigating the Impact of Lookahead for Incremental Neural TTS

In incremental text to speech synthesis (iTTS), the synthesizer produces...

0 Brooke Stephenson, et al. ∙

research

∙ 06/15/2020

Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech

We investigate the effect of introducing phone, syllable, or word bounda...

0 William N. Havard, et al. ∙

research

∙ 06/09/2020

ConfNet2Seq: Full Length Answer Generation from Spoken Questions

Conversational and task-oriented dialogue systems aim to interact with t...

0 Vaishali Pal, et al. ∙

research

∙ 06/01/2020

Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English

We conduct in this work an evaluation study comparing offline and online...

0 Maha Elbayad, 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

∙ 05/18/2020

Efficient Wait-k Models for Simultaneous Machine Translation

Simultaneous machine translation consists in starting output generation ...

0 Maha Elbayad, et al. ∙

research

∙ 03/30/2020

Investigating Language Impact in Bilingual Approaches for Computational Language Documentation

For endangered languages, data collection campaigns have to accommodate ...

0 Marcely Zanon Boito, et al. ∙

research

∙ 03/18/2020

Gender Representation in Open Source Speech Resources

With the rise of artificial intelligence (AI) and the growing use of dee...

0 Mahault Garnerin, et al. ∙

research

∙ 02/14/2020

A Data Efficient End-To-End Spoken Language Understanding Architecture

End-to-end architectures have been recently proposed for spoken language...

0 Marco Dinarelli, et al. ∙

research

∙ 02/03/2020

Modeling ASR Ambiguity for Dialogue State Tracking Using Word Confusion Networks

Spoken dialogue systems typically use a list of top-N ASR hypotheses for...

0 Vaishali Pal, et al. ∙

research

∙ 12/11/2019

FlauBERT: Unsupervised Language Model Pre-training for French

Language models have become a key step to achieve state-of-the-art resul...

0 Hang Le, et al. ∙

research

∙ 11/12/2019

Character-based NMT with Transformer

Character-based translation has several appealing advantages, but its pe...

0 Laurent Besacier, et al. ∙

research

∙ 11/07/2019

The LIG system for the English-Czech Text Translation Task of IWSLT 2019

In this paper, we present our submission for the English to Czech Text T...

0 Loïc Vial, et al. ∙

research

∙ 10/31/2019

Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019

Recently, neural models led to significant improvements in both machine ...

0 Fahimeh Saleh, 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

∙ 10/18/2019

Controlling Utterance Length in NMT-based Word Segmentation with Attention

One of the basic tasks of computational language documentation (CLD) is ...

0 Pierre Godard, et al. ∙

research

∙ 10/11/2019

How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages

For language documentation initiatives, transcription is an expensive re...

0 Marcely Zanon Boito, et al. ∙

research

∙ 09/18/2019

Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech

In this paper, we study how word-like units are represented and activate...

0 William N. Havard, et al. ∙

research

∙ 08/23/2019

Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance

This paper analyzes the gender representation in four major corpora of F...

0 Mahault Garnerin, et al. ∙

research

∙ 07/30/2019

MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible

The CMU Wilderness Multilingual Speech Dataset is a newly published mult...

0 Marcely Zanon Boito, et al. ∙

research

∙ 06/29/2019

Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings

Since Bahdanau et al. [1] first introduced attention for neural machine ...

0 Marcely Zanon Boito, et al. ∙

research

∙ 04/25/2019

The Zero Resource Speech Challenge 2019: TTS without T

We present the Zero Resource Speech Challenge 2019, which proposes to bu...

0 Ewan Dunbar, et al. ∙

research

∙ 02/08/2019

Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese

We investigate the behaviour of attention in neural models of visually g...

0 William N. Havard, et al. ∙

research

∙ 10/17/2018

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation

In spite of the recent success of Dialogue Act (DA) classification, the ...

0 Xuanli He, et al. ∙

research

∙ 08/26/2018

Analyzing Learned Representations of a Deep ASR Performance Prediction Model

This paper addresses a relatively new task: prediction of ASR performanc...

0 Zied Elloumi, et al. ∙

research

∙ 08/11/2018

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

Current state-of-the-art machine translation systems are based on encode...

0 Maha Elbayad, et al. ∙

Laurent Besacier

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