Natalia Tomashenko
Natalia Tomashenko
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TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation
F Hernandez, V Nguyen, S Ghannay, N Tomashenko, Y Esteve
International conference on speech and computer, 198-208, 2018
Introducing the VoicePrivacy initiative
N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ...
arXiv preprint arXiv:2005.01387, 2020
Speaker anonymisation using the McAdams coefficient
J Patino, N Tomashenko, M Todisco, A Nautsch, N Evans
arXiv preprint arXiv:2011.01130, 2020
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability
A Caubrière, N Tomashenko, A Laurent, E Morin, N Camelin, Y Estève
arXiv preprint arXiv:1906.07601, 2019
The VoicePrivacy 2020 Challenge Evaluation Plan
N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ...
Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing
N Tomashenko, Y Khokhlov
Fifteenth Annual Conference of the International Speech Communication …, 2014
The VoicePrivacy 2020 Challenge: Results and findings
N Tomashenko, X Wang, E Vincent, J Patino, BML Srivastava, PG Noé, ...
Computer Speech & Language 74, 101362, 2022
Design choices for x-vector based speaker anonymization
BML Srivastava, N Tomashenko, X Wang, E Vincent, J Yamagishi, ...
arXiv preprint arXiv:2005.08601, 2020
Lebenchmark: A reproducible framework for assessing self-supervised representation learning from speech
S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ...
arXiv preprint arXiv:2104.11462, 2021
Investigating Self-supervised Pre-training for End-to-end Speech Translation
H Nguyen, F Bougares, N Tomashenko, Y Estève
Investigating adaptation and transfer learning for end-to-end spoken language understanding from speech
N Tomashenko, A Caubrière, Y Estève
Interspeech 2019, 824-828, 2019
An Investigation of Mixup Training Strategies for Acoustic Models in ASR.
I Medennikov, YY Khokhlov, A Romanenko, D Popov, NA Tomashenko, ...
Interspeech, 2903-2907, 2018
Speech pseudonymisation assessment using voice similarity matrices
PG Noé, JF Bonastre, D Matrouf, N Tomashenko, A Nautsch, N Evans
arXiv preprint arXiv:2008.13144, 2020
Automated closed captioning for Russian live broadcasting
K Levin, I Ponomareva, A Bulusheva, G Chernykh, I Medennikov, ...
Fifteenth Annual Conference of the International Speech Communication …, 2014
The STC Keyword Search System for OpenKWS 2016 Evaluation.
YY Khokhlov, I Medennikov, A Romanenko, V Mendelev, M Korenevsky, ...
INTERSPEECH, 3602-3606, 2017
The privacy ZEBRA: Zero evidence biometric recognition assessment
A Nautsch, J Patino, N Tomashenko, J Yamagishi, PG Noé, JF Bonastre, ...
arXiv preprint arXiv:2005.09413, 2020
Recent advances in end-to-end spoken language understanding
N Tomashenko, A Caubrière, Y Estève, A Laurent, E Morin
International Conference on Statistical Language and Speech Processing, 44-55, 2019
LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge
N Tomashenko, K Vythelingum, A Rousseau, Y Esteve
2016 IEEE Spoken Language Technology Workshop (SLT), 285-291, 2016
GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models
N Tomashenko, Y Khokhlov
Sixteenth Annual Conference of the International Speech Communication …, 2015
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models.
NA Tomashenko, YY Khokhlov, Y Esteve
INTERSPEECH, 3788-3792, 2016
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