Natalia Tomashenko
Natalia Tomashenko
Verified email at univ-avignon.fr
TitleCited byYear
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
352014
TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation
F Hernandez, V Nguyen, S Ghannay, N Tomashenko, Y Estève
International Conference on Speech and Computer, 198-208, 2018
172018
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
172014
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
142015
Fast algorithm for automatic alignment of speech and imperfect text data
NA Tomashenko, YY Khokhlov
International Conference on Speech and Computer, 146-153, 2013
142013
The STC Keyword Search System for OpenKWS 2016 Evaluation.
YY Khokhlov, I Medennikov, A Romanenko, V Mendelev, M Korenevsky, ...
INTERSPEECH, 3602-3606, 2017
132017
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models.
NA Tomashenko, YY Khokhlov, Y Estève
INTERSPEECH, 3788-3792, 2016
132016
Speech recognition performance evaluation for LVCSR system
Y Khokhlov, N Tomashenko
Proc. 14th Int. Conf. on Speech and Computer (SPECOM 2011). Kazan', Russia …, 2011
122011
LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge
N Tomashenko, K Vythelingum, A Rousseau, Y Estève
2016 IEEE Spoken Language Technology Workshop (SLT), 285-291, 2016
102016
State level control for acoustic model training
G Chernykh, M Korenevsky, K Levin, I Ponomareva, N Tomashenko
International Conference on Speech and Computer, 435-442, 2014
102014
Exploration de paramètres acoustiques dérivés de GMMs pour l’adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds
N Tomashenko, Y Khokhlov, A Larcher, Y Estève
82016
Speaker verification using spectral and durational segmental characteristics
E Bulgakova, A Sholohov, N Tomashenko, Y Matveev
International conference on speech and computer, 397-404, 2015
82015
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
72015
Fast and accurate OOV decoder on high-level features
Y Khokhlov, N Tomashenko, I Medennikov, A Romanenko
arXiv preprint arXiv:1707.06195, 2017
62017
Exploring GMM-derived features for unsupervised adaptation of deep neural network acoustic models
N Tomashenko, Y Khokhlov, A Larcher, Y Estève
International Conference on Speech and Computer, 304-311, 2016
62016
МЕТОД ИДЕНТИФИКАЦИИ ДИКТОРОВ НА ОСНОВЕ СРАВНЕНИЯ СТАТИСТИК ДЛИТЕЛЬНОСТЕЙ ФОНЕМ
Е Булгакова, А Шолохов, Н Томашенко
НАУЧНО-ТЕХНИЧЕСКИЙ ВЕСТНИК ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ, МЕХАНИКИ И ОПТИКИ …, 2015
52015
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
42018
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
42018
A new perspective on combining GMM and DNN frameworks for speaker adaptation
N Tomashenko, Y Khokhlov, Y Estève
International Conference on Statistical Language and Speech Processing, 120-132, 2016
42016
Automation of new voice creation procedure for a Russian TTS system.
A Solomennik, P Chistikov, S Rybin, A Talanov, N Tomashenko
Vestnik MGTU. Priborostroenie 56 (2), 29-32, 2013
42013
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