Deep Attention Recurrent Q-Network I Sorokin, A Seleznev, M Pavlov, A Fedorov, A Ignateva Deep Reinforcement Learning Workshop, NIPS 2015, 2015 | 185 | 2015 |
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 | 180 | 2020 |
Comparing files using structural entropy I Sorokin Journal in computer virology 7 (4), 259-265, 2011 | 90 | 2011 |
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 | 60 | 2020 |
An Investigation of Mixup Training Strategies for Acoustic Models in ASR I Medennikov, Y Khokhlov, A Romanenko, D Popov, N Tomashenko, ... Interspeech 2018, 2018 | 30 | 2018 |
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 |
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 |
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 |
Classification Factored Gated Restricted Boltzmann Machine I Sorokin Proceedings of AALTD 2015, 131-136, 2015 | 2 | 2015 |