Course schedule: TTh 1:30-2:50 at TTI Room #526 (6045 S. Kenwood Ave)
Course textbook: None (selected readings will be provided)
Instructor: Karen Livescu
Prerequisites: A good understanding of probability
This course will introduce techniques used in speech technologies, mainly focusing on speech recognition. Speech recognition is one of the oldest and most complex structured sequence prediction tasks receiving significant research and commercial attention, and therefore provides a good case study for many of the techniques that are used in other areas of artificial intelligence involving sequence modeling. It is also a good example of the effectiveness of combining statistics and learning with domain knowledge. The course will include practical homework exercises using Matlab and speech toolkits.