Yuri Y. Khokhlov

According to our database1, Yuri Y. Khokhlov authored at least 18 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2020
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models.
CoRR, 2020

Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario.
Proceedings of the Interspeech 2020, 2020

2019
The STC ASR System for the VOiCES from a Distance Challenge 2019.
Proceedings of the Interspeech 2019, 2019


2018
Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition.
Proceedings of the Interspeech 2018, 2018

An Investigation of Mixup Training Strategies for Acoustic Models in ASR.
Proceedings of the Interspeech 2018, 2018

2017
Acoustic Modeling in the STC Keyword Search System for OpenKWS 2016 Evaluation.
Proceedings of the Speech and Computer - 19th International Conference, 2017

Fast and Accurate OOV Decoder on High-Level Features.
Proceedings of the Interspeech 2017, 2017

The STC Keyword Search System for OpenKWS 2016 Evaluation.
Proceedings of the Interspeech 2017, 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).
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.
Proceedings of the Speech and Computer - 18th International Conference, 2016

A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation.
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.
Proceedings of the Interspeech 2016, 2016

2015
Improving Acoustic Models for Russian Spontaneous Speech Recognition.
Proceedings of the Speech and Computer - 17th International Conference, 2015

GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models.
Proceedings of the INTERSPEECH 2015, 2015

2014
Speaking Rate Estimation Based on Deep Neural Networks.
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.
Proceedings of the INTERSPEECH 2014, 2014

2013
Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data.
Proceedings of the Speech and Computer - 15th International Conference, 2013


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