Ekaterina Egorova is a PhD student at Brno University of Technology studying information technology with a focus on computer graphics and multimedia. She received master's degrees from Brno University of Technology and Saint-Petersburg State University where she specialized in speech technologies. Her research interests include multi-task neural networks, multilingual speech recognition, and coarticulation in speech recognition. She has worked as a researcher at Brno University of Technology and as a consultant and intern at Phonexia and Telefonica Research and Development.

1. Ekaterina Egorova, Ing. 26.01.1991
tel. +420727982151 e-mail: iegorova@fit.vutbr.cz
http://www.fit.vutbr.cz/~iegorova https://www.linkedin.com/in/eegorova1
Education
2014 – present Brno University of Technology, Faculty of Information Technology
PhD program: Information Technology
2012 – 2014 Brno University of Technology, Faculty of Information Technology
Master degree: Computer Graphics and Multimedia
Master thesis: Multi-Task Neural Networks for Speech Recognition
2010 – 2011 Saint-Petersburg State University, Philological faculty, Phonetics department
Supplementary specialization: Speech technologies
2008 – 2012 Saint-Petersburg State University, Philological faculty
Bachelor degree with honors: Applied, Experimental and Mathematical Linguistics
Bachelor thesis: Phonetic Characteristics of Joint Acoustic Models Used for the Multilingual System of Automatic
Speech Recognition
2005 – 2008 Saint-Petersburg Lyceum №30 with advanced physics and mathematics
Working history
Brno University of Technology, Speech@FIT
(http://speech.fit.vutbr.cz/),
Research
09.2011 - present  Lexicon augmentation through FST-based subword unit
clustering
 Coarticulation in speech recognition
 Pronunciation mixture models for building stochastic
lexicons
 Multi-task neural networks
 Multilingual speech recognition
 Teaching labs in signal/speech processing
Phonexia (https://www.phonexia.com),
External consultant
10.2015 - present  Consulting about data preparation process on-site
 Training of annotators and annotation masters
Telefonica Research and Development
(http://www.tid.es/),
Research assistant intern
07.2015 - 10.2015  Unsupervised learning methods for ASR
 Iterative retraining of acoustic and language models
«AudiTech» (http://www.auditech.ru),
Phonetician
04.2011 - 08.2011  Speech database annotation
Papers and conferences (as first author)
ICASSP 2013 EGOROVA Ekaterina, VESELÝ Karel, KARAFIÁT Martin, JANDA Miloš and ČERNOCKÝ Jan. Manual and Semi-
Automatic Approaches to Building a Multilingual Phoneme Set. In: Proceedings of ICASSP 2013. Vancouver: IEEE
Signal Processing Society, 2013, pp. 7324-7328. ISBN 978-1-4799-0355-9.
EEICT 2014 EGOROVA Ekaterina. Multi-task Neural Networks For Speech Recognition. In: Proceedings of the 20th Student
Conference, EEICT 2014. Brno: Brno University of Technology, 2014, pp. 24-26. ISBN 978-80-214-4923-7.
SLTU 2016 EGOROVA Ekaterina, LUQUE SERRANO Jordi. Semi-supervised Training of Language Model on Spanish
Conversational Telephone Speech Data (pending)
Languages
 Russian – native speaker
 English – fluent speaker
 Czech - fluent speaker
 Spanish – Upper-intermediate level
 German – Intermediate level
Key skills
 Phonetic analysis of speech
 Knowledge of ASR techniques
 Familiarity with STK, Kaldi, TNet frameworks
 Programming languages: Python, C/C++, MatLab,
JAVA, bash
 Sound knowledge of mathematical disciplines,
including machine learning methods