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ORCIDYuri Y. Khokhlov
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Conference and Workshop Papers
- 2021
[c19]Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Y. Khokhlov, Aleksandr Laptev, Andrei Andrusenko
, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko:
LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring. Interspeech 2021: 4039-4043- 2020
- [c18]Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Y. Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko:
Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario. INTERSPEECH 2020: 274-278 - 2019
- [c17]Yuri Y. Khokhlov, Alexander Zatvornitskiy, Ivan Medennikov, Ivan Sorokin, Tatiana Prisyach, Aleksei Romanenko, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Mariya Korenevskaya, Oleg Petrov:
R-Vectors: New Technique for Adaptation to Room Acoustics. INTERSPEECH 2019: 1243-1247 - [c16]Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Ivan Sorokin, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Oleg Petrov, Alexander Zatvornitskiy:
The STC ASR System for the VOiCES from a Distance Challenge 2019. INTERSPEECH 2019: 2453-2457 - [c15]Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Ivan Sorokin, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Oleg Petrov, Alexander Zatvornitskiy:
The STC ASR System for the VOiCES from a Distance Challenge 2019. INTERSPEECH 2019 - 2018
- [c14]Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition. INTERSPEECH 2018: 2414-2418 - [c13]Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Dmitry Popov, Natalia A. Tomashenko, Ivan Sorokin, Alexander Zatvornitskiy:
An Investigation of Mixup Training Strategies for Acoustic Models in ASR. INTERSPEECH 2018: 2903-2907 - 2017
- [c12]Yuri Y. Khokhlov, Natalia A. Tomashenko, Ivan Medennikov, Aleksei Romanenko:
Fast and Accurate OOV Decoder on High-Level Features. INTERSPEECH 2017: 2884-2888 - [c11]Yuri Y. Khokhlov, Ivan Medennikov, Aleksei Romanenko, Valentin Mendelev, Maxim Korenevsky, Alexey Prudnikov, Natalia A. Tomashenko, Alexander Zatvornitsky:
The STC Keyword Search System for OpenKWS 2016 Evaluation. INTERSPEECH 2017: 3602-3606 - [c10]Ivan Medennikov, Aleksei Romanenko, Alexey Prudnikov, Valentin Mendelev, Yuri Y. Khokhlov, Maxim Korenevsky, Natalia A. Tomashenko, Alexander Zatvornitskiy:
Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation. SPECOM 2017: 76-86 - 2016
- [c9]Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models. INTERSPEECH 2016: 3788-3792 - [c8]Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation. SLSP 2016: 120-132 - [c7]Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève:
Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models. SPECOM 2016: 304-311 - [c6]Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève:
Exploration de paramètres acoustiques dérivés de GMM pour l'adaptation non supervisée de modèles acoustiques à base de réseaux de neurones profonds (Exploring GMM-derived features for unsupervised adaptation of deep neural network acoustic models). JEP-TALN-RECITAL (1) 2016: 337-345 - 2015
- [c5]Natalia A. Tomashenko, Yuri Y. Khokhlov:
GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models. INTERSPEECH 2015: 2882-2886 - [c4]Alexey Prudnikov, Ivan Medennikov, Valentin Mendelev, Maxim Korenevsky, Yuri Y. Khokhlov:
Improving Acoustic Models for Russian Spontaneous Speech Recognition. SPECOM 2015: 234-242 - 2014
- [c3]Natalia A. Tomashenko, Yuri Y. Khokhlov:
Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing. INTERSPEECH 2014: 2997-3001 - [c2]Natalia A. Tomashenko, Yuri Y. Khokhlov:
Speaking Rate Estimation Based on Deep Neural Networks. SPECOM 2014: 418-424 - 2013
- [c1]Natalia A. Tomashenko, Yuri Y. Khokhlov:
Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data. SPECOM 2013: 146-153
Informal and Other Publications
- 2021
- [i4]Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Y. Khokhlov, Aleksandr Laptev, Andrei Andrusenko, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko:
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring. CoRR abs/2104.02526 (2021) - 2020
- [i3]Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève:
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models. CoRR abs/2003.06894 (2020) - [i2]Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Y. Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko:
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario. CoRR abs/2005.07272 (2020) - 2017
- [i1]Yuri Y. Khokhlov, Natalia A. Tomashenko, Ivan Medennikov, Alexei Romanenko:
Fast and Accurate OOV Decoder on High-Level Features. CoRR abs/1707.06195 (2017)
Coauthor Index
aka: Alexei Romanenko
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