Working experience

Scientist

Institute for Infocomm Research, A*STAR, Singapore
  • Deep learning for audio/image antispoofing, speaker recognition, acoustic event detection

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, HTK
  • Knowledge of Python, Keras, TensorFlow, Bash, Matlab
  • Basic knowledge of Java, Android SDK, C++

Additional information

Teaching

  • Bayesian Inference 1 (exercise session), University of Eastern Finland
  • Introduction to Statistical Inference 2 (exercise session), University of Eastern Finland
  • Machine Learning and Bioinformatics: Biomedical Data Science, Summer School Deep learning workshops and tutoring, Kuopio, University of Eastern Finland
  • Introduction to Statistical Inference 1 (exercise session), University of Eastern Finland

Awards

  • Speech Recognition Challenge ’Native speech – 2013’, organized by Speech Technology Center, Saint Petersburg, Russia: 2-nd place out of 20 teams, developed the automatic speech recognition system using HTK framework, 51% recognition accuracy
  • DCASE 2017 Challenge: Task 1/4