Working experience
Scientist
Institute for Infocomm Research, A*STAR, Singapore
Jun 2019 - Present
Deep learning in speech technologies: audio/video antispoofing, acoustic event detection, speech-to-text translation
Research Assistant | Speech Technologies
Institute for Infocomm Research, A*STAR, Singapore
Jan 2017 - May 2019
Research Assistant | Speech Technologies
The SIPU Lab, University of Eastern Finland
Aug 2014 to Jan 2017
OCTAVE H2020
Foreign Accent Recognition Project (FARP) funded by The Finnish Defence Forces
Speaker Recognition Project
Education
The Doctoral Programme in Science, Technology and Computing
University of Eastern Finland
Finland
Nov 2015 to Dec 2021
International Master’s Degree Programme in Information Technology
University of Eastern Finland
Finland
Sep 2013 to Sep 2015
Master of Applied Mathematics and Computer Science
Saint-Petersburg State University
Russia
Sep 2012 to May 2014
Bachelor of Applied Mathematics and Computer Science
Saint-Petersburg State University
Russia
Sep 2008 to May 2012
Other experience
Speech processing libraries: Kaldi, Fairseq
Knowledge of Python, Keras, TensorFlow, Pytorch, Bash, Matlab
Additional information
Bayesian Inference 1 (exercise session), UEF — Fall 2016
Introduction to Statistical Inference 2 (exercise session), UEF — Fall 2016
Biomedical Data Science, Summer School, Kuopio, UEF — Summer 2016
Introduction to Statistical Inference 1 (exercise session), UEF — Spring 2016
Trusted Media Challenge. Singapore Team A*ntiFake took 7-th place out of 90 teams Developed audio antispoofing, final accuracy of 96% — 2021
DCASE 2017 Challenge: Task 1/4 — 2017
Speech Recognition Challenge "Native speech - 2013", organized by Speech Technology Center, Saint Petersburg, Russia 2-nd place out of 20 teams, developed automatic speech recognition using HTK framework, 51% recognition accuracy — 2013