Yuri Y. Khokhlov

According to our database, Yuri Y. Khokhlov authored at least 19 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

LT-LM: A Novel Non-Autoregressive Language Model for Single-Shot Lattice Rescoring.

Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Y. Khokhlov, Aleksandr Laptev, Andrei Andrusenko, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models.

Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève

CoRR, 2020

Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario.

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

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

The STC ASR System for the VOiCES from a Distance Challenge 2019.

Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Ivan Sorokin, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Tatiana Prisyach, Mariya Korenevskaya, Oleg Petrov, Alexander Zatvornitskiy

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

R-Vectors: New Technique for Adaptation to Room Acoustics.

Yuri Y. Khokhlov, Alexander Zatvornitskiy, Ivan Medennikov, Ivan Sorokin, Tatiana Prisyach, Aleksei Romanenko, Anton Mitrofanov, Vladimir Bataev, Andrei Andrusenko, Mariya Korenevskaya, Oleg Petrov

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition.

Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

An Investigation of Mixup Training Strategies for Acoustic Models in ASR.

Ivan Medennikov, Yuri Y. Khokhlov, Aleksei Romanenko, Dmitry Popov, Natalia A. Tomashenko, Ivan Sorokin, Alexander Zatvornitskiy

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation.

Ivan Medennikov, Aleksei Romanenko, Alexey Prudnikov, Valentin Mendelev, Yuri Y. Khokhlov, Maxim Korenevsky, Natalia A. Tomashenko, Alexander Zatvornitskiy

Proceedings of the Speech and Computer - 19th International Conference, 2017

Fast and Accurate OOV Decoder on High-Level Features.

Yuri Y. Khokhlov, Natalia A. Tomashenko, Ivan Medennikov, Aleksei Romanenko

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

The STC Keyword Search System for OpenKWS 2016 Evaluation.

Yuri Y. Khokhlov, Ivan Medennikov, Aleksei Romanenko, Valentin Mendelev, Maxim Korenevsky, Alexey Prudnikov, Natalia A. Tomashenko, Alexander Zatvornitsky

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

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).

Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève

Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016

Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models.

Natalia A. Tomashenko, Yuri Y. Khokhlov, Anthony Larcher, Yannick Estève

Proceedings of the Speech and Computer - 18th International Conference, 2016

A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation.

Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève

Proceedings of the Statistical Language and Speech Processing, 2016

On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models.

Natalia A. Tomashenko, Yuri Y. Khokhlov, Yannick Estève

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Improving Acoustic Models for Russian Spontaneous Speech Recognition.

Alexey Prudnikov, Ivan Medennikov, Valentin Mendelev, Maxim Korenevsky, Yuri Y. Khokhlov

Proceedings of the Speech and Computer - 17th International Conference, 2015

GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models.

Natalia A. Tomashenko, Yuri Y. Khokhlov

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Speaking Rate Estimation Based on Deep Neural Networks.

Natalia A. Tomashenko, Yuri Y. Khokhlov

Proceedings of the Speech and Computer - 16th International Conference, 2014

Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing.

Natalia A. Tomashenko, Yuri Y. Khokhlov

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013

Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data.

Natalia A. Tomashenko, Yuri Y. Khokhlov

Proceedings of the Speech and Computer - 15th International Conference, 2013