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Natalia A. Tomashenko
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2020 – today
- 2024
- [j7]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. Comput. Speech Lang. 86: 101622 (2024) - [j6]Benjamin O'Brien
, Christine Meunier, Natalia A. Tomashenko, Alain Ghio, Jean-François Bonastre:
Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance. Multim. Tools Appl. 83(4): 10615-10635 (2024) - [j5]Michele Panariello
The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3477-3491 (2024) - [i27]Natalia A. Tomashenko, Xiaoxiao Miao, Pierre Champion, Sarina Meyer, Xin Wang, Emmanuel Vincent, Michele Panariello, Nicholas W. D. Evans, Junichi Yamagishi, Massimiliano Todisco:
The VoicePrivacy 2024 Challenge Evaluation Plan. CoRR abs/2404.02677 (2024) - 2023
- [j4]Xiaoxiao Miao
Speaker Anonymization Using Orthogonal Householder Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3681-3695 (2023) - [c43]Tuan Nguyen, Salima Mdhaffar, Natalia A. Tomashenko, Jean-François Bonastre, Yannick Estève:
Federated Learning for ASR Based on wav2vec 2.0. ICASSP 2023: 1-5 - [i26]Tuan Nguyen, Salima Mdhaffar, Natalia A. Tomashenko
Federated Learning for ASR based on Wav2vec 2.0. CoRR abs/2302.10790 (2023) - [i25]Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia A. Tomashenko:
Language-independent speaker anonymization using orthogonal Householder neural network. CoRR abs/2305.18823 (2023) - [i24]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech. CoRR abs/2309.05472 (2023) - 2022
- [j3]Paul-Gauthier Noé
Towards a unified assessment framework of speech pseudonymisation. Comput. Speech Lang. 72: 101299 (2022) - [j2]Natalia A. Tomashenko
The VoicePrivacy 2020 Challenge: Results and findings. Comput. Speech Lang. 74: 101362 (2022) - [j1]Brij Mohan Lal Srivastava
Privacy and Utility of X-Vector Based Speaker Anonymization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2383-2395 (2022) - [c42]Salima Mdhaffar
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. ICASSP 2022: 6767-6771 - [c41]Natalia A. Tomashenko
Privacy Attacks for Automatic Speech Recognition Acoustic Models in A Federated Learning Framework. ICASSP 2022: 6972-6976 - [c40]Marcely Zanon Boito, Laurent Besacier, Natalia A. Tomashenko
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems. INTERSPEECH 2022: 1278-1282 - [c39]Xiaoxiao Miao, Xin Wang
Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions. INTERSPEECH 2022: 4426-4430 - [c38]Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia A. Tomashenko:
Language-Independent Speaker Anonymization Approach Using Self-Supervised Pre-Trained Models. Odyssey 2022: 279-286 - [i23]Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia A. Tomashenko:
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models. CoRR abs/2202.13097 (2022) - [i22]Natalia A. Tomashenko
The VoicePrivacy 2022 Challenge Evaluation Plan. CoRR abs/2203.12468 (2022) - [i21]Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia A. Tomashenko:
Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions. CoRR abs/2203.14834 (2022) - [i20]Marcely Zanon Boito, Laurent Besacier, Natalia A. Tomashenko
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems. CoRR abs/2204.01397 (2022) - [i19]Natalia A. Tomashenko
The VoicePrivacy 2020 Challenge Evaluation Plan. CoRR abs/2205.07123 (2022) - 2021
- [c37]Jose Patino, Natalia A. Tomashenko
Speaker Anonymisation Using the McAdams Coefficient. Interspeech 2021: 1099-1103 - [c36]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. Interspeech 2021: 1439-1443 - [c35]Benjamin O'Brien
Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface. Interspeech 2021: 3580-3584 - [c34]Hang Le, Florentin Barbier, Ha Nguyen, Natalia A. Tomashenko, Salima Mdhaffar, Souhir Gahbiche
ON-TRAC' systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks. IWSLT 2021: 169-174 - [c33]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. NeurIPS Datasets and Benchmarks 2021 - [i18]Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. CoRR abs/2104.11462 (2021) - [i17]Jean-François Bonastre
Benchmarking and challenges in security and privacy for voice biometrics. CoRR abs/2109.00281 (2021) - [i16]Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas W. D. Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre
The VoicePrivacy 2020 Challenge: Results and findings. CoRR abs/2109.00648 (2021) - [i15]Natalia A. Tomashenko, Salima Mdhaffar, Marc Tommasi, Yannick Estève, Jean-François Bonastre:
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework. CoRR abs/2111.03777 (2021) - [i14]Salima Mdhaffar, Jean-François Bonastre, Marc Tommasi, Natalia A. Tomashenko, Yannick Estève:
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition. CoRR abs/2111.04194 (2021) - 2020
- [c32]Natalia A. Tomashenko
Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems. ICASSP 2020: 8509-8513 - [c31]Antoine Caubrière, Sahar Ghannay
Error Analysis Applied to End-to-End Spoken Language Understanding. ICASSP 2020: 8514-8518 - [c30]Ha Nguyen, Fethi Bougares, Natalia A. Tomashenko
Investigating Self-Supervised Pre-Training for End-to-End Speech Translation. INTERSPEECH 2020: 1466-1470 - [c29]Natalia A. Tomashenko
Introducing the VoicePrivacy Initiative. INTERSPEECH 2020: 1693-1697 - [c28]Andreas Nautsch, Jose Patino, Natalia A. Tomashenko
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. INTERSPEECH 2020: 1698-1702 - [c27]Brij Mohan Lal Srivastava, Natalia A. Tomashenko
Design Choices for X-Vector Based Speaker Anonymization. INTERSPEECH 2020: 1713-1717 - [c26]Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf, Natalia A. Tomashenko
Speech Pseudonymisation Assessment Using Voice Similarity Matrices. INTERSPEECH 2020: 1718-1722 - [c25]Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia A. Tomashenko
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. IWSLT 2020: 35-43 - [i13]Natalia A. Tomashenko, Christian Raymond, Antoine Caubrière, Renato De Mori, Yannick Estève:
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems. CoRR abs/2002.06012 (2020) - [i12]Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models. CoRR abs/2003.06894 (2020) - [i11]Natalia A. Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas W. D. Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco:
Introducing the VoicePrivacy Initiative. CoRR abs/2005.01387 (2020) - [i10]Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-vector Based Speaker Anonymization. CoRR abs/2005.08601 (2020) - [i9]Andreas Nautsch, Jose Patino, Natalia A. Tomashenko, Junichi Yamagishi, Paul-Gauthier Noé, Jean-François Bonastre, Massimiliano Todisco, Nicholas W. D. Evans:
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. CoRR abs/2005.09413 (2020) - [i8]Maha Elbayad
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. CoRR abs/2005.11861 (2020) - [i7]Paul-Gauthier Noé, Jean-François Bonastre, Driss Matrouf, Natalia A. Tomashenko, Andreas Nautsch, Nicholas W. D. Evans:
Speech Pseudonymisation Assessment Using Voice Similarity Matrices. CoRR abs/2008.13144 (2020) - [i6]Jose Patino, Natalia A. Tomashenko, Massimiliano Todisco, Andreas Nautsch, Nicholas W. D. Evans:
Speaker anonymisation using the McAdams coefficient. CoRR abs/2011.01130 (2020)
2010 – 2019
- 2019
- [c24]Natalia A. Tomashenko
Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech. INTERSPEECH 2019: 824-828 - [c23]Antoine Caubrière, Natalia A. Tomashenko
Curriculum-Based Transfer Learning for an Effective End-to-End Spoken Language Understanding and Domain Portability. INTERSPEECH 2019: 1198-1202 - [c22]Natalia A. Tomashenko
Recent Advances in End-to-End Spoken Language Understanding. SLSP 2019: 44-55 - [c21]Antoine Caubrière, Natalia A. Tomashenko, Yannick Estève, Antoine Laurent, Emmanuel Morin:
Curriculum d'apprentissage : reconnaissance d'entités nommées pour l'extraction de concepts sémantiques (Curriculum learning : named entity recognition for semantic concept extraction). PFIA (Articles longs) 2019: 85-98 - [i5]Antoine Caubrière, Natalia A. Tomashenko, Antoine Laurent, Emmanuel Morin, Nathalie Camelin
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability. CoRR abs/1906.07601 (2019) - [i4]Natalia A. Tomashenko, Antoine Caubrière, Yannick Estève, Antoine Laurent, Emmanuel Morin:
Recent Advances in End-to-End Spoken Language Understanding. CoRR abs/1909.13332 (2019) - [i3]Ha Nguyen, Natalia A. Tomashenko, Marcely Zanon Boito, Antoine Caubrière, Fethi Bougares, Mickael Rouvier, Laurent Besacier, Yannick Estève:
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task. CoRR abs/1910.13689 (2019) - 2018
- [c20]Natalia A. Tomashenko
Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition. INTERSPEECH 2018: 2414-2418 - [c19]Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko
An Investigation of Mixup Training Strategies for Acoustic Models in ASR. INTERSPEECH 2018: 2903-2907 - [c18]Natalia A. Tomashenko, Yannick Estève:
Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models. LREC 2018 - [c17]François Hernandez, Vincent Nguyen, Sahar Ghannay
TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation. SPECOM 2018: 198-208 - [i2]François Hernandez, Vincent Nguyen, Sahar Ghannay
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation. CoRR abs/1805.04699 (2018) - 2017
- [b1]Natalia A. Tomashenko:
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). University of Maine, Le Mans, France, 2017 - [c16]Yuri Y. Khokhlov, Natalia A. Tomashenko
Fast and Accurate OOV Decoder on High-Level Features. INTERSPEECH 2017: 2884-2888 - [c15]Yuri Y. Khokhlov, Ivan Medennikov, Aleksei Romanenko
The STC Keyword Search System for OpenKWS 2016 Evaluation. INTERSPEECH 2017: 3602-3606 - [c14]Ivan Medennikov, Aleksei Romanenko
Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation. SPECOM 2017: 76-86 - [i1]Yuri Y. Khokhlov, Natalia A. Tomashenko, Ivan Medennikov, Alexei Romanenko:
Fast and Accurate OOV Decoder on High-Level Features. CoRR abs/1707.06195 (2017) - 2016
- [c13]Natalia A. Tomashenko
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models. INTERSPEECH 2016: 3788-3792 - [c12]Natalia A. Tomashenko
A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation. SLSP 2016: 120-132 - [c11]Natalia A. Tomashenko
LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge. SLT 2016: 285-291 - [c10]Natalia A. Tomashenko
Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models. SPECOM 2016: 304-311 - [c9]Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève:
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). JEP-TALN-RECITAL (1) 2016: 337-345 - 2015
- [c8]Natalia A. Tomashenko, Yuri Y. Khokhlov:
GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models. INTERSPEECH 2015: 2882-2886 - [c7]Olga Khomitsevich, Valentin Mendelev, Natalia A. Tomashenko
A Bilingual Kazakh-Russian System for Automatic Speech Recognition and Synthesis. SPECOM 2015: 25-33 - [c6]Elena Bulgakova, Aleksei Sholohov, Natalia A. Tomashenko
Speaker Verification Using Spectral and Durational Segmental Characteristics. SPECOM 2015: 397-404 - 2014
- [c5]Kirill Levin, Irina Ponomareva, Anna Bulusheva, German A. Chernykh, Ivan Medennikov, Nickolay Merkin, Alexey Prudnikov, Natalia A. Tomashenko:
Automated closed captioning for Russian live broadcasting. INTERSPEECH 2014: 1438-1442 - [c4]Natalia A. Tomashenko, Yuri Y. Khokhlov:
Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing. INTERSPEECH 2014: 2997-3001 - [c3]Natalia A. Tomashenko, Yuri Y. Khokhlov:
Speaking Rate Estimation Based on Deep Neural Networks. SPECOM 2014: 418-424 - [c2]German A. Chernykh
State Level Control for Acoustic Model Training. SPECOM 2014: 435-442 - 2013
- [c1]Natalia A. Tomashenko
Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data. SPECOM 2013: 146-153
Coauthor Index
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last updated on 2024-08-23 18:29 CEST by the dblp team
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