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Yuri Khokhlov
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Target-speaker voice activity detection: a novel approach for multi-speaker diarization in a dinner party scenario
I Medennikov, M Korenevsky, T Prisyach, Y Khokhlov, M Korenevskaya, ...
arXiv preprint arXiv:2005.07272, 2020
1752020
The STC system for the CHiME-6 challenge
I Medennikov, M Korenevsky, T Prisyach, Y Khokhlov, M Korenevskaya, ...
CHiME 2020 Workshop on Speech Processing in Everyday Environments, 2020
592020
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
432014
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
302018
Acoustic modeling in the STC keyword search system for OpenKWS 2016 evaluation
I Medennikov, A Romanenko, A Prudnikov, V Mendelev, Y Khokhlov, ...
Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield …, 2017
212017
Improving acoustic models for Russian spontaneous speech recognition
A Prudnikov, I Medennikov, V Mendelev, M Korenevsky, Y Khokhlov
Speech and Computer: 17th International Conference, SPECOM 2015, Athens …, 2015
212015
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
192015
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
172016
The STC system for the CHiME 2018 challenge
I Medennikov, I Sorokin, A Romanenko, D Popov, Y Khokhlov, T Prisyach, ...
The 5th International Workshop on Speech Processing in Everyday Environments …, 2018
162018
Speech recognition performance evaluation for LVCSR system
Y Khokhlov, N Tomashenko
Proc. 14th Int. Conf. on Speech and Computer (SPECOM 2011). Kazan', Russia …, 2011
162011
Fast algorithm for automatic alignment of speech and imperfect text data
NA Tomashenko, YY Khokhlov
Speech and Computer: 15th International Conference, SPECOM 2013, Pilsen …, 2013
152013
R-Vectors: New Technique for Adaptation to Room Acoustics.
YY Khokhlov, A Zatvornitskiy, I Medennikov, I Sorokin, T Prisyach, ...
INTERSPEECH, 1243-1247, 2019
132019
Fast and accurate OOV decoder on high-level features
Y Khokhlov, N Tomashenko, I Medennikov, A Romanenko
arXiv preprint arXiv:1707.06195, 2017
112017
Building acoustic models for a large vocabulary continuous speech recognizer for Russian
M Tatarnikova, I Tampel, I Oparin, Y Khokhlov
Proceedings of SPECOM, 83-87, 2006
112006
The STC ASR System for the VOiCES from a Distance Challenge 2019.
I Medennikov, YY Khokhlov, A Romanenko, I Sorokin, A Mitrofanov, ...
INTERSPEECH, 2453-2457, 2019
102019
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
92016
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
Journées d’Études sur la Parole (JEP'16), 2016
92016
A new perspective on combining GMM and DNN frameworks for speaker adaptation
N Tomashenko, Y Khokhlov, Y Estève
Statistical Language and Speech Processing: 4th International Conference …, 2016
72016
Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition.
NA Tomashenko, YY Khokhlov, Y Estève
INTERSPEECH, 2414-2418, 2018
62018
Использование в системах автоматического распознавания речи GMM-моделей для адаптации акустических моделей, построенных на основе искусственных нейронных сетей
НА Томашенко, ЮЮ Хохлов, Э Ларшер, Я Эстев, ЮН Матвеев
Научно-технический вестник информационных технологий, механики и оптики 16 …, 2016
62016
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