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 | 175 | 2020 |
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 | 59 | 2020 |
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 | 43 | 2014 |
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 | 30 | 2018 |
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 | 21 | 2017 |
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 | 21 | 2015 |
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 | 19 | 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 | 17 | 2016 |
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 | 16 | 2018 |
Speech recognition performance evaluation for LVCSR system Y Khokhlov, N Tomashenko Proc. 14th Int. Conf. on Speech and Computer (SPECOM 2011). Kazan', Russia …, 2011 | 16 | 2011 |
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 | 15 | 2013 |
R-Vectors: New Technique for Adaptation to Room Acoustics. YY Khokhlov, A Zatvornitskiy, I Medennikov, I Sorokin, T Prisyach, ... INTERSPEECH, 1243-1247, 2019 | 13 | 2019 |
Fast and accurate OOV decoder on high-level features Y Khokhlov, N Tomashenko, I Medennikov, A Romanenko arXiv preprint arXiv:1707.06195, 2017 | 11 | 2017 |
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 | 11 | 2006 |
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 | 10 | 2019 |
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 | 9 | 2016 |
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 | 9 | 2016 |
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 | 7 | 2016 |
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 | 6 | 2018 |
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 | 6 | 2016 |