Conducting active research in all aspects of digital video processing including video analysis, compression, filtering and data embedding. Focusing on various signal processing and statistical machine learning techniques to study correlations, dependencies and independencies across modalities, which are loosely synchronous such as speech and gestures, speech and emotion, or strongly synchronous such as acoustic and throat microphone recordings, music and dance.

Research Areas:

  • Speech recognition
  • Human-computer interfaces
  • Machine Learning
  • Video analysis
  • Compression
  • Filtering
  • Data embedding

Affiliated Labs: