Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data. - Natalia A. Tomashenko; Yuri Y. Khokhlov (SPECOM, 2013)

Automated closed captioning for Russian live broadcasting. - Kirill Levin; Irina Ponomareva; Anna Bulusheva; German A. Chernykh; Ivan Medennikov; Nickolay Merkin; Alexey Prudnikov; Natalia A. Tomashenko (INTERSPEECH, 2014)

Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing. - Natalia A. Tomashenko; Yuri Y. Khokhlov (INTERSPEECH, 2014)

State Level Control for Acoustic Model Training. - German A. Chernykh; Maxim Korenevsky; Kirill Levin; Irina Ponomareva; Natalia A. Tomashenko (SPECOM, 2014)

Speaking Rate Estimation Based on Deep Neural Networks. - Natalia A. Tomashenko; Yuri Y. Khokhlov (SPECOM, 2014)

GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models. - Natalia A. Tomashenko; Yuri Y. Khokhlov (INTERSPEECH, 2015)

Speaker Verification Using Spectral and Durational Segmental Characteristics. - Elena Bulgakova; Aleksei Sholohov; Natalia A. Tomashenko; Yuri Matveev (SPECOM, 2015)

A Bilingual Kazakh-Russian System for Automatic Speech Recognition and Synthesis. - Olga Khomitsevich; Valentin Mendelev; Natalia A. Tomashenko; Sergey Rybin; Ivan Medennikov; Saule Kudubayeva (SPECOM, 2015)

On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models. - Natalia A. Tomashenko; Yuri Y. Khokhlov; Yannick Estève (INTERSPEECH, 2016)

A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation. - Natalia A. Tomashenko; Yuri Y. Khokhlov; Yannick Estève (SLSP, 2016)

LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge. - Natalia A. Tomashenko; Kévin Vythelingum; Anthony Rousseau; Yannick Estève (SLT, 2016)

Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models. - Natalia A. Tomashenko; Yuri Y. Khokhlov; Anthony Larcher; Yannick Estève (SPECOM, 2016)

Exploration de paramètres acoustiques dérivés de GMM pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds (Exploring GMM-derived features for unsupervised adaptation of deep neural network acoustic models). - Natalia A. Tomashenko; Yuri Y. Khokhlov; Anthony Larcher; Yannick Estève (JEP-TALN-RECITAL (1), 2016)

The STC Keyword Search System for OpenKWS 2016 Evaluation. - Yuri Y. Khokhlov; Ivan Medennikov; Aleksei Romanenko; Valentin Mendelev; Maxim Korenevsky; Alexey Prudnikov; Natalia A. Tomashenko; Alexander Zatvornitsky (INTERSPEECH, 2017)

Fast and Accurate OOV Decoder on High-Level Features. - Yuri Y. Khokhlov; Natalia A. Tomashenko; Ivan Medennikov; Aleksei Romanenko (INTERSPEECH, 2017)

Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation. - Ivan Medennikov; Aleksei Romanenko; Alexey Prudnikov; Valentin Mendelev; Yuri Y. Khokhlov; Maxim Korenevsky; Natalia A. Tomashenko; Alexander Zatvornitskiy (SPECOM, 2017)

Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems. (Utilisation de modèles gaussiens pour l'adaptation au locuteur de réseaux de neurones profonds dans un contexte de modélisation acoustique pour la reconnaissance de la parole). - Natalia A. Tomashenko (2017)

An Investigation of Mixup Training Strategies for Acoustic Models in ASR. - Ivan Medennikov; Yuri Y. Khokhlov; Aleksei Romanenko; Dmitry Popov; Natalia A. Tomashenko; Ivan Sorokin; Alexander Zatvornitskiy (INTERSPEECH, 2018)

Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition. - Natalia A. Tomashenko; Yuri Y. Khokhlov; Yannick Estève (INTERSPEECH, 2018)

Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models. - Natalia A. Tomashenko; Yannick Estève (LREC, 2018)

TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation. - François Hernandez; Vincent Nguyen; Sahar Ghannay; Natalia A. Tomashenko; Yannick Estève (SPECOM, 2018)

Curriculum-Based Transfer Learning for an Effective End-to-End Spoken Language Understanding and Domain Portability. - Antoine Caubrière; Natalia A. Tomashenko; Antoine Laurent; Emmanuel Morin; Nathalie Camelin; Yannick Estève (INTERSPEECH, 2019)

Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech. - Natalia A. Tomashenko; Antoine Caubrière; Yannick Estève (INTERSPEECH, 2019)

Recent Advances in End-to-End Spoken Language Understanding. - Natalia A. Tomashenko; Antoine Caubrière; Yannick Estève; Antoine Laurent; Emmanuel Morin (SLSP, 2019)

Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction). - Antoine Caubrière; Natalia A. Tomashenko; Yannick Estève; Antoine Laurent; Emmanuel Morin (PFIA (Articles longs), 2019)

ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task. - Ha Nguyen; Natalia A. Tomashenko; Marcely Zanon Boito; Antoine Caubrière; Fethi Bougares; Mickael Rouvier; Laurent Besacier; Yannick Estève (CoRR, 2019)

Error Analysis Applied to End-to-End Spoken Language Understanding. - Antoine Caubrière; Sahar Ghannay; Natalia A. Tomashenko; Renato De Mori; Antoine Laurent; Emmanuel Morin; Yannick Estève (ICASSP, 2020)

Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems. - Natalia A. Tomashenko; Christian Raymond; Antoine Caubrière; Renato De Mori; Yannick Estève (ICASSP, 2020)

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. - Andreas Nautsch; Jose Patino 001; Natalia A. Tomashenko; Junichi Yamagishi; Paul-Gauthier Noé; Jean-François Bonastre; Massimiliano Todisco; Nicholas W. D. Evans (INTERSPEECH, 2020)

Investigating Self-Supervised Pre-Training for End-to-End Speech Translation. - Ha Nguyen; Fethi Bougares; Natalia A. Tomashenko; Yannick Estève; Laurent Besacier (INTERSPEECH, 2020)

Speech Pseudonymisation Assessment Using Voice Similarity Matrices. - Paul-Gauthier Noé; Jean-François Bonastre; Driss Matrouf; Natalia A. Tomashenko; Andreas Nautsch; Nicholas W. D. Evans (INTERSPEECH, 2020)

Design Choices for X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Junichi Yamagishi; Mohamed Maouche; Aurélien Bellet; Marc Tommasi (INTERSPEECH, 2020)

Introducing the VoicePrivacy Initiative. - Natalia A. Tomashenko; Brij Mohan Lal Srivastava; Xin Wang 037; Emmanuel Vincent 001; Andreas Nautsch; Junichi Yamagishi; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Paul-Gauthier Noé; Massimiliano Todisco (INTERSPEECH, 2020)

ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. - Maha Elbayad; Ha Nguyen; Fethi Bougares; Natalia A. Tomashenko; Antoine Caubrière; Benjamin Lecouteux; Yannick Estève; Laurent Besacier (IWSLT, 2020)

Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models. - Natalia A. Tomashenko; Yuri Y. Khokhlov; Yannick Estève (CoRR, 2020)

Speaker Anonymisation Using the McAdams Coefficient. - Jose Patino 001; Natalia A. Tomashenko; Massimiliano Todisco; Andreas Nautsch; Nicholas W. D. Evans (Interspeech, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (Interspeech, 2021)

Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface. - Benjamin O'Brien; Natalia A. Tomashenko; Anaïs Chanclu; Jean-François Bonastre (Interspeech, 2021)

ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks. - Hang Le 001; Florentin Barbier; Ha Nguyen; Natalia A. Tomashenko; Salima Mdhaffar; Souhir Gahbiche; Benjamin Lecouteux; Didier Schwab; Yannick Estève (IWSLT, 2021)

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (NeurIPS Datasets and Benchmarks, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (CoRR, 2021)

Benchmarking and challenges in security and privacy for voice biometrics. - Jean-François Bonastre; Héctor Delgado; Nicholas W. D. Evans; Tomi Kinnunen; Kong Aik Lee; Xuechen Liu; Andreas Nautsch; Paul-Gauthier Noé; Jose Patino 001; Md. Sahidullah; Brij Mohan Lal Srivastava; Massimiliano Todisco; et al. (CoRR, 2021)

Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. - Salima Mdhaffar; Jean-François Bonastre; Marc Tommasi; Natalia A. Tomashenko; Yannick Estève (ICASSP, 2022)

Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. - Natalia A. Tomashenko; Salima Mdhaffar; Marc Tommasi; Yannick Estève; Jean-François Bonastre (ICASSP, 2022)

A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems. - Marcely Zanon Boito; Laurent Besacier; Natalia A. Tomashenko; Yannick Estève (INTERSPEECH, 2022)

Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions. - Xiaoxiao Miao; Xin Wang 037; Erica Cooper; Junichi Yamagishi; Natalia A. Tomashenko (INTERSPEECH, 2022)

Language-Independent Speaker Anonymization Approach Using Self-Supervised Pre-Trained Models. - Xiaoxiao Miao; Xin Wang 037; Erica Cooper; Junichi Yamagishi; Natalia A. Tomashenko (Odyssey, 2022)

The VoicePrivacy 2022 Challenge Evaluation Plan. - Natalia A. Tomashenko; Xin Wang 037; Xiaoxiao Miao; Hubert Nourtel; Pierre Champion; Massimiliano Todisco; Emmanuel Vincent 001; Nicholas W. D. Evans; Junichi Yamagishi; Jean-François Bonastre (CoRR, 2022)

The VoicePrivacy 2020 Challenge Evaluation Plan. - Natalia A. Tomashenko; Brij Mohan Lal Srivastava; Xin Wang 037; Emmanuel Vincent 001; Andreas Nautsch; Junichi Yamagishi; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Paul-Gauthier Noé; Massimiliano Todisco (CoRR, 2022)

Towards a unified assessment framework of speech pseudonymisation. - Paul-Gauthier Noé; Andreas Nautsch; Nicholas W. D. Evans; Jose Patino 001; Jean-François Bonastre; Natalia A. Tomashenko; Driss Matrouf (Comput. Speech Lang., 2022)

The VoicePrivacy 2020 Challenge: Results and findings. - Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Jose Patino 001; Brij Mohan Lal Srivastava; Paul-Gauthier Noé; Andreas Nautsch; Nicholas W. D. Evans; Junichi Yamagishi; Benjamin O'Brien; Anaïs Chanclu; Jean-François Bonastre; et al. (Comput. Speech Lang., 2022)

Privacy and Utility of X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Mohamed Maouche; Md. Sahidullah; Emmanuel Vincent 001; Aurélien Bellet; Marc Tommasi; Natalia A. Tomashenko; Xin Wang 037; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Federated Learning for ASR Based on wav2vec 2.0. - Tuan Nguyen; Salima Mdhaffar; Natalia A. Tomashenko; Jean-François Bonastre; Yannick Estève (ICASSP, 2023)

Language-independent speaker anonymization using orthogonal Householder neural network. - Xiaoxiao Miao; Xin Wang 037; Erica Cooper; Junichi Yamagishi; Natalia A. Tomashenko (CoRR, 2023)

Speaker Anonymization Using Orthogonal Householder Neural Network. - Xiaoxiao Miao; Xin Wang 037; Erica Cooper; Junichi Yamagishi; Natalia A. Tomashenko (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize? - Jennifer Williams 001; Karla Pizzi; Natalia A. Tomashenko; Sneha Das (ICASSP, 2024)

The VoicePrivacy 2024 Challenge Evaluation Plan. - Natalia A. Tomashenko; Xiaoxiao Miao; Pierre Champion; Sarina Meyer; Xin Wang 037; Emmanuel Vincent 001; Michele Panariello; Nicholas W. D. Evans; Junichi Yamagishi; Massimiliano Todisco (CoRR, 2024)

The First VoicePrivacy Attacker Challenge Evaluation Plan. - Natalia A. Tomashenko; Xiaoxiao Miao; Emmanuel Vincent 001; Junichi Yamagishi (CoRR, 2024)

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; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)

The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation. - Michele Panariello; Natalia A. Tomashenko; Xin Wang 037; Xiaoxiao Miao; Pierre Champion; Hubert Nourtel; Massimiliano Todisco; Nicholas W. D. Evans; Emmanuel Vincent 001; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance. - Benjamin O'Brien; Christine Meunier; Natalia A. Tomashenko; Alain Ghio; Jean-François Bonastre (Multim. Tools Appl., 2024)

Analysis of Speech Temporal Dynamics in the Context of Speaker Verification and Voice Anonymization. - Natalia A. Tomashenko; Emmanuel Vincent 001; Marc Tommasi (ICASSP, 2025)

The First VoicePrivacy Attacker Challenge. - Natalia A. Tomashenko; Xiaoxiao Miao; Emmanuel Vincent 001; Junichi Yamagishi (ICASSP, 2025)

Adapting general disentanglement-based speaker anonymization for enhanced emotion preservation. - Xiaoxiao Miao; Yuxiang Zhang; Xin Wang 037; Natalia A. Tomashenko; Cheng Lock Donny Soh; Ian McLoughlin 001 (Comput. Speech Lang., 2025)

Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems. - Natalia A. Tomashenko; Emmanuel Vincent 001; Marc Tommasi (CoRR, 2025)