| Large vocabulary Russian speech recognition using syntactico-statistical language modeling A Karpov, K Markov, I Kipyatkova, D Vazhenina, A Ronzhin Speech Communication 56, 213-228, 2014 | 81 | 2014 |
| Phoneme set selection for Russian speech recognition D Vazhenina, K Markov 2011 7th International Conference on Natural Language Processing and …, 2011 | 21 | 2011 |
| End-to-end noisy speech recognition using Fourier and Hilbert spectrum features D Vazhenina, K Markov Electronics 9 (7), 1157, 2020 | 17 | 2020 |
| State-of-the-art speech recognition technologies for Russian language D Vazhenina, I Kipyatkova, K Markov, A Karpov Proceedings of the 2012 Joint International Conference on Human-Centered …, 2012 | 15 | 2012 |
| Evaluation of advanced language modeling techniques for Russian LVCSR D Vazhenina, K Markov Speech and Computer: 15th International Conference, SPECOM 2013, Pilsen …, 2013 | 14 | 2013 |
| Factored language modeling for Russian LVCSR D Vazhenina, K Markov 2013 International Joint Conference on Awareness Science and Technology …, 2013 | 7 | 2013 |
| Методика выбора фонемного набора для автоматического распознавания русской речи ДА Важенина, ИС Кипяткова, КП Марков, АА Карпов Информатика и автоматизация 5 (36), 92-113, 2014 | 3 | 2014 |
| Reducing the number of multiplications in convolutional recurrent neural networks (ConvRNNs) D Vazhenina, A Kanemura Advances in Artificial Intelligence: Selected Papers from the Annual …, 2020 | 2 | 2020 |
| Sequence memoizer based language model for russian speech recognition D Vazhenina, K Markov Spoken Language Technologies for Under-Resourced Languages, 2014 | 2 | 2014 |
| Recent Developments in the Russian Speech Recognition Technology D Vazhenina, K Markov 2010 IEEE/ACIS 9th International Conference on Computer and Information …, 2010 | 2 | 2010 |
| Technique for Phoneme Set Selection for Automatic Russian Speech Recognition DA Vazhenina, IS Kipyatkova, KP Markov, AA Karpov Informatics and Automation 36, 92-113, 2014 | 1 | 2014 |
| Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table H Tokunaga, J Nicholls, D Vazhenina, A Kanemura arXiv preprint arXiv:2407.16174, 2024 | | 2024 |
| Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way N Bougie, D Vazhenina, N Watanabe Asian Conference on Machine Learning, 185-200, 2024 | | 2024 |
| Advanced Methods for Model Learning in Speech Recognition D VAZHENINA 会津大学, 2021 | | 2021 |
| Gated extra memory recurrent unit for learning video representations D Vazhenina, A Kanemura Advances in Artificial Intelligence: Selected Papers from the Annual …, 2021 | | 2021 |
Konstantin MarkovProfessor of Information technology, The University of AizuVerified email at u-aizu.ac.jp
Konstantin MarkovProfessor of Information technology, The University of AizuVerified email at u-aizu.ac.jp