Publications

■ Journal Articles    ■ Conference & Workshop Papers    ■ Under Review, Reports & Other Publications    ■ Theses  

2024

■  The First VoicePrivacy Attacker Challenge Evaluation Plan 

Natalia Tomashenko, Xiaoxiao Miao, Emmanuel Vincent, Junichi Yamagishi

[arxiv][hal]

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

Jennifer Williams, Karla Pizzi, Natalia Tomashenko, Sneha Das

ICASSP 2024
[IEEE Xplore]


■  The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation 

Michele Panariello*,  Natalia Tomashenko*, Xin Wang*, Xiaoxiao Miao, Pierre Champion, Hubert Nourtel, Massimiliano Todisco, Nicholas Evans, Emmanuel Vincent, and Junichi Yamagishi (*-equal contribution)

IEEE Transactions on Audio, Speech and Language Processing

[arxiv][IEEE Xplore ]


■  The VoicePrivacy 2024 Challenge Evaluation Plan 

Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Xin Wang, Emmanuel Vincent, Michele Panariello, Nicholas Evans, Junichi Yamagishi, Massimiliano Todisco

[arxiv][hal]


2023

■  Federated learning for ASR based on wav2vec 2.0 

Tuan Nguyen, Salima Mdhaffar, Natalia Tomashenko, Jean-François Bonastre, Yannick Estève

ICASSP 2023

[arxiv][IEEE Xplore]


■  Speaker anonymization using orthogonal Householder neural network 

Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia Tomashenko

IEEE Transactions on Audio, Speech and Language Processing

[arxiv][IEEE Xplore ]


■  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 Journal

[springer link] 


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

Titouan Parcollet, Ha Nguyen, Solene Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Esteve, Mickael Rouvier, Jerome Goulian, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Computer Speech and Language (journal, published in 2024)

[Computer Speech & Language] [arxiv] 


■  Metrics for anonymization of unstructured datasets 

Lydia Belkadi, Martine De Cock, Natasha Fernandes, Katherine Lee, Christina Lohr, Olga Ohrimenko, Andreas Nautsch, Laurens Sion, Natalia Tomashenko, Marc Tommasi, Peggy Valcke, Emmanuel Vincent

Report from Dagstuhl Seminar 21052: Privacy in Speech and Language Technology

[report]

2022

■  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

[arxiv][poster][IEEE Xplore]


■  Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition 

Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia Tomashenko, Yannick Estève

ICASSP 2022

[arxiv]


â–  The VoicePrivacy 2022 Challenge evaluation plan

Natalia Tomashenko, Xin Wang, Xiaoxiao Miao, Hubert Nourtel, Pierre Champion, Massimiliano Todisco, Emmanuel Vincent, Nicholas Evans, Junichi Yamagishi, Jean-François Bonastre

[arxiv]


■ Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models 

Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia Tomashenko

Odyssey 2022

[arxiv]


■  Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions 

Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia Tomashenko

Interspeech 2022

[arxiv]


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

Marcely Zanon Boito, Laurent Besacier, Natalia Tomashenko, Yannick Estève

Interspeech 2022

[arxiv]


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

Anthony Larcher, Yannick Estève, Mickael Rouvier, Natalia Tomashenko, Jarod Duret, et al.

ESPERANTO/JSALT workshop report

[hal]


■  Sur la vérification du locuteur à partir de traces d’exécution de modèles acoustiques personnalisés

Natalia Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre

Journées d'Études sur la Parole - JEP2022

[hal]


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

Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia Tomashenko, Yannick Estève

Journées d'Études sur la Parole - JEP2022


■  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, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab and Laurent Besacier

Journées d'Études sur la Parole - JEP2022


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

Hang Le, Sina Alisamir, Marco Dinarelli, Fabien Ringeval, Solène Evain, Ha Nguyen, Marcely Zanon Boito, Salima Mdhaffar, Ziyi Tong, Natalia Tomashenko, Titouan Parcollet, Allauzen Alexandre, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Didier Schwab and Laurent Besacier

Journées d'Études sur la Parole - JEP2022

[ISCA archive]

2021

■  The VoicePrivacy 2020 Challenge: Results and findings

Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche. 

Computer Speech and Language (journal, published in 2022)

[Computer Speech & Language ][arxiv]


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

Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche. 

Report

[pdf]


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

Benjamin O'Brien, Natalia Tomashenko, Anaïs Chanclu, Jean-François Bonastre

Interspeech 2021

[ISCA archive]


■  Towards a unified assessment framework of speech pseudonymisation 

Paul-Gauthier Noé, Andreas Nautsch, Nicholas Evans, Jose Patino, Jean-François Bonastre, Natalia Tomashenko, Driss Matrouf

Computer Speech & Language 

[CSL]


■  Benchmarking and challenges in security and privacy for voice biometrics 

Jean-Francois Bonastre, Hector Delgado, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Paul-Gauthier Noe, Jose Patino, Md Sahidullah, Brij Mohan Lal Srivastava, Massimiliano Todisco, Natalia Tomashenko, Emmanuel Vincent, Xin Wang, Junichi Yamagishi

ISCA Symposium on Security and Privacy in Speech Communication 

[ISCA archive]


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

Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Interspeech 2021

[ISCA archive]


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

Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

NeurIPS Thirty-fifth Annual Conference on Neural Information Processing Systems 2021: Datasets and Benchmarks Track

[paper]  [poster]


■  Speaker anonymisation using the McAdams coefficient

Jose Patino, Natalia Tomashenko, Massimiliano Todisco, Andreas Nautsch, Nicholas Evans. 

Interspeech 2021

[ISCA archive] [arxiv]


■  Privacy and utility of x-vector based speaker anonymization

Brij M. L. Srivastava, Mohamed Maouche, Md Sahidullah, Emmanuel Vincent, Aurélien Bellet, Marc Tommasi, Natalia Tomashenko, Xin Wang, Junichi Yamagishi. 

IEEE/ACM Transactions on Audio, Speech, and Language Processing

[HAL] [IEEE Xplore]


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

Le, H., Barbier, F., Nguyen, H., Tomashenko, N., Mdhaffar, S., Gahbiche, S., Fethi, B., Lecouteux, B., Schwab, D. and Estève, Y. 

International Conference on Spoken Language Translation (IWSLT)

[paper] 

2020

■  Introducing the VoicePrivacy initiative

Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco.  

Interspeech 2020

[arxiv] [slides] [ISCA archive] [video] [code]


■  Design choices for x-vector based speaker anonymization

Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi.

Interspeech 2020

[arxiv] [slides] [ISCA archive] [video] [code]


■  The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

Andreas Nautsch, Jose Patino, Natalia Tomashenko, Junichi Yamagishi, Paul-Gauthier Noe, Jean-Francois Bonastre, Massimiliano Todisco, Nicholas Evans.

Interspeech 2020

[arxiv] [slides] [ISCA archive] [video] [code]


■  Speech Pseudonymisation Assessment Using Voice Similarity Matrices

Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf, Natalia Tomashenko, Andreas Nautsch, Nicholas Evans.

Interspeech 2020

[arxiv] [slides] [ISCA archive] [video] [code]


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

Ha Nguyen, Fethi Bougares, Natalia Tomashenko, Yannick Estève, Laurent Besacier.

Interspeech 2020

[arxiv] [slides] [ISCA archive] [video]


■  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

[arxiv] [slides] [IEEE Xplore] [video]


■  Error Analysis Applied to End-to-End Spoken Language Understanding

Antoine Caubrière, Sahar Ghannay, Natalia Tomashenko, Renato De Mori, Antoine Laurent, Emmanuel Morin, Yannick Estève. 

ICASSP 2020

[pdf] [slides] [IEEE Xplore] [video]


■  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, Benjamin Lecouteux, Yannick Estève, Laurent Besacier. 

IWSLT 2020 (ACL)

[arxiv][ACL]


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

Natalia Tomashenko, Yuri Khokhlov, Yannick Estève. 

preprint

[arxiv]


■  The VoicePrivacy 2020 Challenge Evaluation Plan

Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco, Jose Patino. 

[pdf]

2019

■  Investigating adaptation and transfer learning for end-to-end spoken language understanding from speech

Natalia Tomashenko, Antoine Caubrière, Yannick Estève.

Interspeech 2019

[arxiv] [ISCA archive] [poster] [video]


■  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, Yannick Estève.

Interspeech 2019

[arxiv] [ISCA archive] [poster] [video]


■  Recent advances in end-to-end spoken language understanding

Natalia Tomashenko, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin.

International Conference on Statistical Language and Speech Processing (SLSP) 2019

[arxiv] [Springer link] [slides] 


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

Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito, Antoine Caubrière, Fethi Bougares, Mickael Rouvier, Laurent Besacier, Yannick Estève.

IWSLT 2019

[arxiv] [slides] 


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

Antoine Caubrière, Natalia Tomashenko, Yannick Estève, Antoine Laurent, Emmanuel Morin.

TALN 2019

[pdf] 

2018

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

Natalia Tomashenko, Yuri Khokhlov, Yannick Estève.

Interspeech 2018

[ISCA archive] [poster] [code]


■  An Investigation of Mixup Training Strategies for Acoustic Models in ASR

Ivan Medennikov, Yuri Y Khokhlov, Aleksei Romanenko, Dmitry Popov, Natalia Tomashenko, Ivan Sorokin, Alexander Zatvornitskiy.

Interspeech 2018

[ISCA archive] [poster] [code]


■  Evaluation of feature-space speaker adaptation for end-to-end acoustic models

Natalia Tomashenko, Yannick Estève.

International Conference on Language Resources and Evaluation (LREC) 2018

[pdf] [poster] 


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

François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, Yannick Estève.

International Conference on Speech and Computer (SPECOM) 2018

[arxiv] [Springer link] 


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

Natalia Tomashenko, Yannick Estève.

IXXXIIe Journées d’Études sur la Parole (JEP) 2018

[pdf] [poster] 

2017

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

Natalia Tomashenko.

PhD thesis

[pdf] [slides] 


■  Fast and accurate OOV decoder on high-level features

Yuri Khokhlov, Natalia Tomashenko, Ivan Medennikov, Alexei Romanenko

Interspeech 2017

[pdf] [poster] 


■  The STC Keyword Search System for OpenKWS 2016 Evaluation

Yuri Y Khokhlov, Ivan Medennikov, Aleksei Romanenko, Valentin Mendelev, Maxim Korenevsky, Alexey Prudnikov, Natalia Tomashenko, Alexander Zatvornitsky

Interspeech 2017

[pdf] 


■  Acoustic modeling in the STC keyword search system for OpenKWS 2016 evaluation

Ivan Medennikov, Aleksei Romanenko, Alexey Prudnikov, Valentin Mendelev, Yuri Khokhlov, Maxim Korenevsky, Natalia Tomashenko, Alexander Zatvornitskiy

International Conference on Speech and Computer (SPECOM) 2017

[pdf] [Springer link]

2016

■  LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge

Natalia Tomashenko, Kévin Vythelingum, Anthony Rousseau, Yannick Estève

2016 IEEE Spoken Language Technology Workshop (SLT)

[pdf] [IEEE Xplore]


■  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

[ISCA archive]  [poster]


■  A new perspective on combining GMM and DNN frameworks for speaker adaptation

Natalia Tomashenko, Yuri Khokhlov, Yannick Estève

International Conference on Statistical Language and Speech Processing (SLSP) 2016

[Springer link] [slides] 


■  Exploring GMM-derived features for unsupervised adaptation of deep neural network acoustic models

Natalia Tomashenko, Yuri Khokhlov, Anthony Larcher, Yannick Estève

International Conference on Speech and Computer (SPECOM) 2016

[pdf] [Springer link] 


■  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)

[pdf]

2015

■  GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models

Natalia Tomashenko, Yuri Khokhlov

Interspeech 2015

[ISCA archive]


■  A bilingual Kazakh-Russian system for automatic speech recognition and synthesis

Olga Khomitsevich, Valentin Mendelev, Natalia Tomashenko, Sergey Rybin, Ivan Medennikov, Saule Kudubayeva

International Conference on Speech and Computer (SPECOM) 2015

[pdf][Springer link]


■  Speaker verification using spectral and durational segmental characteristics

Elena Bulgakova, Aleksei Sholohov, Natalia Tomashenko, Yuri Matveev

International Conference on Speech and Computer (SPECOM) 2015

[pdf][Springer link]

2014

■  Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing

Natalia Tomashenko, Yuri Khokhlov

Interspeech 2014

[ISCA archive]


■  Speaking rate estimation based on deep neural networks

Natalia Tomashenko, Yuri Khokhlov

International Conference on Speech and Computer (SPECOM) 2014


■  Automated closed captioning for Russian live broadcasting

Kirill Levin, Irina Ponomareva, Anna Bulusheva, G Chernykh, Ivan Medennikov, Nickolay Merkin, Alexey Prudnikov, Natalia Tomashenko

Interspeech 2014

[ISCA archive]


■  State level control for acoustic model training

German Chernykh, Maxim Korenevsky, Kirill Levin, Irina Ponomareva, Natalia Tomashenko

International Conference on Speech and Computer (SPECOM) 2014

[pdf][Springer link]

...