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
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
Introducing the VoicePrivacy initiative
N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ...
arXiv preprint arXiv:2005.01387, 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
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
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
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 VoicePrivacy 2020 Challenge Evaluation Plan
N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ...
Speaker anonymisation using the McAdams coefficient
J Patino, N Tomashenko, M Todisco, A Nautsch, N Evans
arXiv preprint arXiv:2011.01130, 2020
The STC Keyword Search System for OpenKWS 2016 Evaluation.
YY Khokhlov, I Medennikov, A Romanenko, V Mendelev, M Korenevsky, ...
INTERSPEECH, 3602-3606, 2017
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
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
Speech recognition performance evaluation for LVCSR system
Y Khokhlov, N Tomashenko
Proc. 14th Int. Conf. on Speech and Computer (SPECOM 2011). Kazan', Russia …, 2011
A bilingual Kazakh-Russian system for automatic speech recognition and synthesis
O Khomitsevich, V Mendelev, N Tomashenko, S Rybin, I Medennikov, ...
International Conference on Speech and Computer, 25-33, 2015
Design choices for x-vector based speaker anonymization
BML Srivastava, N Tomashenko, X Wang, E Vincent, J Yamagishi, ...
arXiv preprint arXiv:2005.08601, 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
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
Evaluation of feature-space speaker adaptation for end-to-end acoustic models
N Tomashenko, Y Estève
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Fast algorithm for automatic alignment of speech and imperfect text data
NA Tomashenko, YY Khokhlov
International Conference on Speech and Computer, 146-153, 2013
Investigating Self-supervised Pre-training for End-to-end Speech Translation
H Nguyen, F Bougares, N Tomashenko, Y Estève
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