Search Results for author: Antoine Laurent

Found 28 papers, 2 papers with code

Overlaps and Gender Analysis in the Context of Broadcast Media

no code implementations LREC 2022 Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier, Anthony Larcher

Our main goal is to study the interactions between speakers according to their gender and role in broadcast media.

Direct Text to Speech Translation System using Acoustic Units

no code implementations14 Sep 2023 Victoria Mingote, Pablo Gimeno, Luis Vicente, Sameer Khurana, Antoine Laurent, Jarod Duret

This framework employs text in different source languages as input to generate speech in the target language without the need for text transcriptions in this language.

Decoder Speech-to-Speech Translation +2

On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and Model Calibration

no code implementations14 Nov 2022 Nauman Dawalatabad, Sameer Khurana, Antoine Laurent, James Glass

Dropout-based Uncertainty-driven Self-Training (DUST) proceeds by first training a teacher model on source domain labeled data.

Pseudo Label Pseudo Label Filtering +1

Overlapped speech and gender detection with WavLM pre-trained features

no code implementations9 Sep 2022 Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier

This article focuses on overlapped speech and gender detection in order to study interactions between women and men in French audiovisual media (Gender Equality Monitoring project).

SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation

no code implementations17 May 2022 Sameer Khurana, Antoine Laurent, James Glass

We combine state-of-the-art multilingual acoustic frame-level speech representation learning model XLS-R with the Language Agnostic BERT Sentence Embedding (LaBSE) model to create an utterance-level multimodal multilingual speech encoder SAMU-XLSR.

Retrieval Sentence +5

Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0

no code implementations7 Oct 2021 Sameer Khurana, Antoine Laurent, James Glass

We propose a simple and effective cross-lingual transfer learning method to adapt monolingual wav2vec-2. 0 models for Automatic Speech Recognition (ASR) in resource-scarce languages.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

End-to-end speaker segmentation for overlap-aware resegmentation

2 code implementations8 Apr 2021 Hervé Bredin, Antoine Laurent

Experiments on multiple speaker diarization datasets conclude that our model can be used with great success on both voice activity detection and overlapped speech detection.

Action Detection Activity Detection +5

End2End Acoustic to Semantic Transduction

no code implementations1 Feb 2021 Valentin Pelloin, Nathalie Camelin, Antoine Laurent, Renato de Mori, Antoine Caubrière, Yannick Estève, Sylvain Meignier

In this paper, we propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism.

Language Modelling Spoken Language Understanding

A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning

no code implementations3 Jun 2020 Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski, Adrian Lancucki, Ricard Marxer, James Glass

Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech.

Representation Learning Self-Supervised Learning +1

A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study

no code implementations LREC 2020 Salima Mdhaffar, Yannick Est{\`e}ve, Antoine Laurent, Hern, Nicolas ez, Richard Dufour, Delphine Charlet, Geraldine Damnati, Solen Quiniou, Nathalie Camelin

The use cases concern scientific fields from both speech and text processing, with language model adaptation, thematic segmentation and transcription to slide alignment.

Language Modelling

Recent Advances in End-to-End Spoken Language Understanding

no code implementations29 Sep 2019 Natalia Tomashenko, Antoine Caubriere, Yannick Esteve, Antoine Laurent, Emmanuel Morin

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 end-to-end neural network model.

General Classification named-entity-recognition +5

Apport de l'adaptation automatique des mod\`eles de langage pour la reconnaissance de la parole: \'evaluation qualitative extrins\`eque dans un contexte de traitement de cours magistraux (Contribution of automatic adaptation of language models for speech recognition : extrinsic qualitative evaluation in a context of educational courses)

no code implementations JEPTALNRECITAL 2019 Salima Mdhaffar, Yannick Est{\`e}ve, Hern, Nicolas ez, Antoine Laurent, Solen Quiniou

Les transcriptions automatiques de ces syst{\`e}mes sont de plus en plus exploitables et utilis{\'e}es dans des syst{\`e}mes complexes de traitement automatique du langage naturel, par exemple pour la traduction automatique, l{'}indexation, la recherche documentaire... Des {\'e}tudes r{\'e}centes ont propos{\'e} des m{\'e}triques permettant de comparer la qualit{\'e} des transcriptions automatiques de diff{\'e}rents syst{\`e}mes en fonction de la t{\^a}che vis{\'e}e. Dans cette {\'e}tude nous souhaitons mesurer, qualitativement, l{'}apport de l{'}adaptation automatique des mod{\`e}les de langage au domaine vis{\'e} par un cours magistral.

speech-recognition Speech Recognition

End-to-end named entity extraction from speech

no code implementations30 May 2018 Sahar Ghannay, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin

Until now, NER from speech is made through a pipeline process that consists in processing first an automatic speech recognition (ASR) on the audio and then processing a NER on the ASR outputs.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

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