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Natalia Tomashenko

Post-Doctorant / Chercheur


LST ( Le Mans )

02 43 83 38 58

natalia.tomashenko[at]univ-lemans.fr

https://lium.univ-lemans.fr/team/natalia-tomashenko/


Activités de Recherche :

Projet(s) : News.bridge

Corpus : TED-LIUM Release 3

 

Biographie

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Liste Complète des Publications sur HAL  Hal https://hal.archives-ouvertes.fr/search/index/?qa[authIdHal_s][]=natalia-tomashenko

Publications au LIUM - 11

[1]Ivan Medennikov, Yuri Khokhlov, Aleksei Romanenko, Dmitry Popov, Natalia Tomashenko, et al.. An Investigation of Mixup Training Strategies for Acoustic Models in ASR. Interspeech 2018, Sep 2018, Hyderabad, India. ISCA, 〈10.21437/Interspeech.2018-2191〉. <hal-01876337>
[2]Natalia Tomashenko, Yuri Khokhlov, Yannick Estève. Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition. Interspeech 2018, Sep 2018, Hyderabad, India. ISCA, 〈10.21437/Interspeech.2018-2209〉. <hal-01870865>
[3]Natalia Tomashenko, Yannick Estève. Impact des techniques d'adaptation au locuteur dans l'espace des paramètres pour des modèles acoustiques purement neuronaux. XXXIIe Journées d'Etudes sur la Parole, Jun 2018, Aix-en-Provence, France. <hal-01757772>
[4]Natalia Tomashenko, Yannick Estève. Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models. LREC 2018, May 2018, Miyazaki, Japan. <hal-01728526>
[5]Natalia Tomashenko. Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems. Neural and Evolutionary Computing [cs.NE]. Université du Maine, 2017. English. 〈NNT : 2017LEMA1040〉. <tel-01797231>
[6]Yuri Khokhlov, Natalia Tomashenko, Ivan Medennikov, Alexei Romanenko. Fast and Accurate OOV Decoder on High-Level Features. INTERSPEECH 2017, Aug 2017, Stockholm, Sweden. pp.2884-2888, 〈http://www.isca-speech.org/archive/Interspeech_2017/abstracts/1367.html〉. 〈10.21437/Interspeech.2017-1367〉. <hal-01681375>
[7]Natalia Tomashenko, Kévin Vythelingum, Anthony Rousseau, Yannick Estève. LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic Challenge. IEEE Workshop on Spoken Language Technology, Dec 2016, San Diego, CA, USA, United States. 2016, 〈http://www.slt2016.org〉. 〈10.1109/SLT.2016.7846278〉. <hal-01433188>
[8]Natalia Tomashenko, Yuri Khokhlov, Yannick Estève. A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation. 4th International Conference on Statistical Language and Speech Processing - SLSP 2016, 2016, Pilsen, Czech Republic. 2016. <hal-01433182>
[9]Natalia Tomashenko, Yuri Khokhlov, Yannick Estève. On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models. Interspeech 2016, 2016, San Francisco (CA, USA), Unknown Region. 2016. <hal-01433178>
[10]Natalia Tomashenko, Yuri Khokhlov, Anthony Larcher, Yannick Estève. Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models. 18th International Conference on Speech and Computer, 2016, Budapest, Hungary. 2016, Speech and Computer 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings. <hal-01433184>
[11]Natalia Tomashenko, Yuri Khokhlov, Anthony Larcher, Yannick Estève. Exploration de paramètres acoustiques dérivés de GMMs pour l’adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds. Journées d’Études sur la Parole (JEP'16), 2016, Paris, France. AFCP, 2016. <hal-01456899>