Working experience

Scientist

Institute for Infocomm Research, A*STAR, Singapore
  • Deep learning in speech technologies: audio/video antispoofing,
    acoustic event detection, speech-to-text translation

Research Assistant | Speech Technologies

The SIPU Lab, University of Eastern Finland
  • 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

International Master’s Degree Programme in Information Technology

University of Eastern Finland
Finland

Master of Applied Mathematics and Computer Science

Saint-Petersburg State University
Russia

Bachelor of Applied Mathematics and Computer Science

Saint-Petersburg State University
Russia

Other experience

Computer Skills

  • Speech processing libraries: Kaldi, Fairseq
  • Knowledge of Python, Keras, TensorFlow, Pytorch, Bash, Matlab

Additional information

Teaching

  • 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

Awards

  • 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