CV Accueil - Archive ouverte HAL

	On speaker verification from the neural network footprint of personalized acoustic models Natalia Tomashenko , Salima Mdhaffar , Marc Tommasi , Yannick Estève , Jean-François Bonastre Journées d'Études sur la Parole - JEP2022, Jun 2022, Île de Noirmoutier, France Communication dans un congrès hal-03626964v1
	Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français Solène Evain , Ha Nguyen , Hang Le , Marcely Zanon Boito , Salima Mdhaffar JEP 2022, Jun 2022, île de Noirmoutier, France Communication dans un congrès hal-03707064v1
	Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition Salima Mdhaffar , Jean-François Bonastre , Marc Tommasi , Natalia Tomashenko , Yannick Estève IEEE ICASSP 2022, 2022, Singapour, Singapore Communication dans un congrès hal-03539741v1
	Privacy attacks for automatic speech recognition acoustic models in a federated learning framework Natalia Tomashenko , Salima Mdhaffar , Marc Tommasi , Yannick Estève , Jean-François Bonastre ICASSP 2022, 2022, Singapour, Singapore Communication dans un congrès hal-03539742v2
	Extraction d'informations liées au locuteur depuis un modèle acoustique personnalisé Salima Mdhaffar , Jean-François A Bonastre , Marc Tommasi , Natalia Tomashenko , Yannick Estève JEP 2022, Jun 2022, île de Noirmoutier, France Communication dans un congrès hal-03706944v1
	Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark Solène Evain , Manh Ha Nguyen , Hang Le , Marcely Zanon Boito , Salima Mdhaffar Thirty-fifth Conference on Neural Information Processing Systems ( NeurIPS 2021), Dec 2021, on-line, United States Communication dans un congrès hal-03407172v1
	LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Solène Evain , Ha Nguyen , Hang Le , Marcely Zanon Boito , Salima Mdhaffar INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic Communication dans un congrès hal-03317730v3
	ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks Hang Le , Florentin Barbier , Ha Nguyen , Natalia Tomashenko , Salima Mdhaffar International Conference on Spoken Language Translation (IWSLT), Aug 2021, Bangkok (virtual), Thailand. ⟨10.18653/v1/2021.iwslt-1.20⟩ Communication dans un congrès hal-03298854v2
	Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems Natalia Tomashenko , Christian Raymond , Antoine Caubrière , Renato de Mori , Yannick Estève ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2020, Barcelona, Spain. pp.5, ⟨10.1109/ICASSP40776.2020.9053247⟩ Communication dans un congrès hal-02551760v1
	Investigating Self-supervised Pre-training for End-to-end Speech Translation Ha Nguyen , Fethi Bougares , Natalia Tomashenko , Yannick Estève , Laurent Besacier Interspeech 2020, Oct 2020, Shangai (Virtual Conf), China Communication dans un congrès hal-02962186v1
	ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020 Maha Elbayad , Ha Nguyen , Fethi Bougares , Natalia Tomashenko , Antoine Caubrière Proceedings of the 17th International Conference on Spoken Language Translation, Jul 2020, Seattle, WA, United States. pp.35-43, ⟨10.18653/v1/2020.iwslt-1.2⟩ Communication dans un congrès hal-02895893v1
	Error analysis applied to end-to end spoken language understanding Antoine Caubrière , Sahar Ghannay , Natalia Tomashenko , Renato de Mori , Antoine Laurent 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.8514-8518, ⟨10.1109/ICASSP40776.2020.9054455⟩ Communication dans un congrès hal-02465899v1
	Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability Antoine Caubrière , Natalia Tomashenko , Antoine Laurent , Emmanuel Morin , Nathalie Camelin 20th Annual Conference of the International Speech Communication Association (InterSpeech), Sep 2019, Graz, Austria. pp.1198-1202, ⟨10.21437/interspeech.2019-1832⟩ Communication dans un congrès hal-02304597v1
	Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech Natalia Tomashenko , Antoine Caubrière , Yannick Estève Interspeech 2019, Sep 2019, Graz, Austria. pp.824-828, ⟨10.21437/Interspeech.2019-2158⟩ Communication dans un congrès hal-02307811v1
	Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques Antoine Caubrière , Natalia Tomashenko , Yannick Estève , Antoine Laurent , Emmanuel Morin 26e conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jul 2019, Toulouse, France Communication dans un congrès hal-02304614v1
	Recent Advances in End-to-End Spoken Language Understanding Natalia Tomashenko , Antoine Caubrière , Yannick Estève , Antoine Laurent , Emmanuel Morin 7th International Conference on Statistical Language and Speech Processing (SLSP), Oct 2019, Ljubljana, Slovenia Communication dans un congrès hal-02353011v1
	ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task Manh Ha Nguyen , Natalia Tomashenko , Marcely Zanon Boito , Antoine Caubrière , Fethi Bougares 16th International Workshop on Spoken Language Translation 2019, Nov 2019, Hong Kong, China Communication dans un congrès hal-02352949v1
	Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models Natalia Tomashenko , Yannick Estève LREC 2018, May 2018, Miyazaki, Japan Communication dans un congrès hal-01728526v1
	Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition Natalia Tomashenko , Yuri Khokhlov , Yannick Estève Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2209⟩ Communication dans un congrès hal-01870865v1
	Impact des techniques d'adaptation au locuteur dans l'espace des paramètres pour des modèles acoustiques purement neuronaux Natalia Tomashenko , Yannick Estève XXXIIe Journées d'Etudes sur la Parole, Jun 2018, Aix-en-Provence, France Communication dans un congrès hal-01757772v1
	LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic Challenge Natalia Tomashenko , Kévin Vythelingum , Anthony Rousseau , Yannick Estève IEEE Workshop on Spoken Language Technology, Dec 2016, San Diego, CA, USA, United States. ⟨10.1109/SLT.2016.7846278⟩ Communication dans un congrès hal-01433188v1
	A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation Natalia Tomashenko , Yuri Khokhlov , Yannick Estève 4th International Conference on Statistical Language and Speech Processing - SLSP 2016, 2016, Pilsen, Czech Republic Communication dans un congrès hal-01433182v1
	On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models Natalia Tomashenko , Yuri Khokhlov , Yannick Estève Interspeech 2016, 2016, San Francisco (CA, USA), Unknown Region Communication dans un congrès hal-01433178v1
	Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models Natalia Tomashenko , Yuri Khokhlov , Anthony Larcher , Yannick Estève 18th International Conference on Speech and Computer, 2016, Budapest, Hungary Communication dans un congrès hal-01433184v1
	Exploration de paramètres acoustiques dérivés de GMMs pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds Natalia Tomashenko , Yuri Khokhlov , Anthony Larcher , Yannick Estève Journées d’Études sur la Parole (JEP'16), 2016, Paris, France Communication dans un congrès hal-01456899v1

	Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models Natalia Tomashenko , Yuri Khokhlov , Yannick Estève 2020 Pré-publication, Document de travail hal-02551714v1

Yannick Estève

Présentation

Domaines de recherche

Publications

On speaker verification from the neural network footprint of personalized acoustic models

Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition

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

Extraction d'informations liées au locuteur depuis un modèle acoustique personnalisé

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark

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

ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks

Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems

Investigating Self-supervised Pre-training for End-to-end Speech Translation

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

Error analysis applied to end-to end spoken language understanding

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

Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech

Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques

Recent Advances in End-to-End Spoken Language Understanding

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

Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models

Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition

Impact des techniques d'adaptation au locuteur dans l'espace des paramètres pour des modèles acoustiques purement neuronaux

LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic Challenge

A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation

On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models

Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models

Exploration de paramètres acoustiques dérivés de GMMs pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds

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