Natalia Tomashenko

Documents

Affiliations actuelles

420403

Publications

	LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech Titouan Parcollet , Ha Nguyen , Solène Evain , Marcely Zanon Boito , Adrien Pupier Computer Speech and Language, 2024, 86, pp.101622. ⟨10.1016/j.csl.2024.101622⟩ Article dans une revue hal-04441389v1
	Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance Benjamin O'Brien , Christine Meunier , Natalia Tomashenko , Alain Ghio , Jean-François Bonastre Multimedia Tools and Applications, 2023, ⟨10.1007/s11042-023-15391-0⟩ Article dans une revue hal-04138760v1
	Privacy and utility of x-vector based speaker anonymization Brij Mohan Lal Srivastava , Mohamed Maouche , Md Sahidullah , Emmanuel Vincent , Aurélien Bellet IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩ Article dans une revue hal-03197376v3
	Towards a unified assessment framework of speech pseudonymisation Paul-Gauthier Noé , Andreas Nautsch , Nicholas Evans , Jose Patino , Jean-François Bonastre Computer Speech and Language, 2022, 72, pp.101299. ⟨10.1016/j.csl.2021.101299⟩ Article dans une revue hal-03555462v1
	The VoicePrivacy 2020 Challenge: Results and findings Natalia Tomashenko , Xin Wang , Emmanuel Vincent , Jose Patino , Brij Mohan Lal Srivastava Computer Speech and Language, 2022, 74, pp.101362. ⟨10.1016/j.csl.2022.101362⟩ Article dans une revue hal-03332224v4

	Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize? Jennifer Williams , Karla Pizzi , Natalia Tomashenko , Sneha Das ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2024, Seoul, South Korea. pp.12491-12495, ⟨10.1109/ICASSP48485.2024.10445935⟩ Communication dans un congrès hal-04527700v1
	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
	LeBenchmark, un référentiel d'évaluation pour le français oral * Hang Le , Sina Alisamir , Marco Dinarelli , Fabien Ringeval , Solène Evain 34e Journées d'étude sur la parole JEP 2022, Jun 2022, île de Noirmoutier, France Communication dans un congrès hal-03767742v1
	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
	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
	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
	Speaker Anonymisation Using the McAdams Coefficient Jose Patino , Natalia Tomashenko , Massimiliano Todisco , Andreas Nautsch , Nicholas Evans Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.1099-1103, ⟨10.21437/Interspeech.2021-1070⟩ Communication dans un congrès hal-03346206v1
	Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interface Benjamin O'Brien , Natalia Tomashenko , Anaïs Chanclu , Jean-François Bonastre INTERSPEECH 2021, Aug 2021, Brno, Czech Republic Communication dans un congrès hal-03267084v2
	The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment Andreas Nautsch , Jose Patino , Natalia Tomashenko , Junichi Yamagishi , Paul-Gauthier Noé Interspeech 2020, Oct 2021, Shanghai, China. pp.1698-1702, ⟨10.21437/Interspeech.2020-1815⟩ Communication dans un congrès hal-03555630v1
	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
	Benchmarking and challenges in security and privacy for voice biometrics Jean-Francois Bonastre , Hector Delgado , Nicholas Evans , Tomi Kinnunen , Kong Aik Lee SPSC 2021, 1st ISCA Symposium on Security and Privacy in Speech Communication, ISCA, Nov 2021, Magdeburg, Germany. ⟨10.21437/SPSC.2021-11⟩ Communication dans un congrès hal-03346196v1
	Design Choices for X-vector Based Speaker Anonymization Brij Mohan Lal Srivastava , Natalia Tomashenko , Xin Wang , Emmanuel Vincent , Junichi Yamagishi INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China Communication dans un congrès hal-02610447v2
	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
	Speech Pseudonymisation Assessment Using Voice Similarity Matrices Paul-Gauthier Noé , Jean-François Bonastre , Driss Matrouf , Natalia Tomashenko , Andreas Nautsch Interspeech 2020, Oct 2020, Shanghai, China Communication dans un congrès hal-02925559v1
	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
	Introducing the VoicePrivacy initiative Natalia Tomashenko , Brij Mohan Lal Srivastava , Xin Wang , Emmanuel Vincent , Andreas Nautsch INTERSPEECH 2020, Oct 2020, Shanghai, China Communication dans un congrès hal-02562199v3
	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
	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 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
	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
	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
	An Investigation of Mixup Training Strategies for Acoustic Models in ASR Ivan Medennikov , Yuri Khokhlov , Aleksei Romanenko , Dmitry Popov , Natalia Tomashenko Interspeech 2018, Sep 2018, Hyderabad, India. ⟨10.21437/Interspeech.2018-2191⟩ Communication dans un congrès hal-01876337v1
	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
	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
	Fast and Accurate OOV Decoder on High-Level Features Yuri Khokhlov , Natalia Tomashenko , Ivan Medennikov , Alexei Romanenko INTERSPEECH 2017, Aug 2017, Stockholm, Sweden. ⟨10.21437/Interspeech.2017-1367⟩ Communication dans un congrès hal-01681375v1
	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
	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
	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

	The VoicePrivacy 2022 Challenge Evaluation Plan Natalia Tomashenko , Xin Wang , Xiaoxiao Miao , Hubert Nourtel , Pierre Champion 2022 Pré-publication, Document de travail hal-03623516v2
	Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings Natalia Tomashenko , Xin Wang , Emmanuel Vincent , Jose Patino , Brij Mohan Lal Srivastava 2022 Pré-publication, Document de travail hal-03335126v6
	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

	Multi-lingual Speech to Speech Translation for Under-Resourced Languages Anthony Larcher , Yannick Estève , Mickael Rouvier , Natalia Tomashenko , Jarod Duret Le Mans Université. 2022 Rapport hal-04176910v1
	The VoicePrivacy 2020 Challenge Evaluation Plan Natalia Tomashenko , Brij Mohan Lal Srivastava , Xin Wang , Emmanuel Vincent , Andreas Nautsch [0] LIA - Laboratoire Informatique d'Avignon; MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery; Eurecom [Sophia Antipolis]; University of Edinburgh. 2020 Rapport hal-03623450v2

	Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems Natalia Tomashenko Neural and Evolutionary Computing [cs.NE]. Le Mans Université; ITMO University, 2017. English. ⟨NNT : 2017LEMA1040⟩ Thèse tel-01797231v1

	The Voice Privacy 2024 Challenge Evaluation Plan Natalia Tomashenko , Xiaoxiao Miao , Pierre Champion , Sarina Meyer , Xin Wang 4th Symposium on Security and Privacy in Speech Communication 2024, Sep 2024, Kos Island, Greece Document associé à des manifestations scientifiques hal-04531444v1

Natalia Tomashenko

Publications

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech

Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance

Privacy and utility of x-vector based speaker anonymization

Towards a unified assessment framework of speech pseudonymisation

The VoicePrivacy 2020 Challenge: Results and findings

Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize?

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

LeBenchmark, un référentiel d'évaluation pour le français oral *

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

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

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

Speaker Anonymisation Using the McAdams Coefficient

Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interface

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

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

Benchmarking and challenges in security and privacy for voice biometrics

Design Choices for X-vector Based Speaker Anonymization

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

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

Error analysis applied to end-to end spoken language understanding

Introducing the VoicePrivacy initiative

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

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

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

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

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

An Investigation of Mixup Training Strategies for Acoustic Models in ASR

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

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

Fast and Accurate OOV Decoder on High-Level Features

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

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

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

The VoicePrivacy 2022 Challenge Evaluation Plan

Supplementary material to the paper The VoicePrivacy 2020 Challenge: Results and findings

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

Multi-lingual Speech to Speech Translation for Under-Resourced Languages

The VoicePrivacy 2020 Challenge Evaluation Plan

Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems

The Voice Privacy 2024 Challenge Evaluation Plan