Speech, Image and Video Processing

Research and teaching in our group is on fundamental theory and applications to real-world signal processing problems. We adhere to the departmental mission statement of "educational excellence through cutting edge research," and offer a large number of courses from the introductory undergraduate level to advanced graduate courses and directed study.

Signal processing touches a large variety of engineering problems, from communications to human-computer interaction to medical signal information processing. The specific application areas associated with research in our group include:

• Speech Processing: speech recognition for human-computer dialogs and audio browsing, speech synthesis, language identification
• Image Processing: morphological image processing, computer vision, image compression and transmission, medical image analysis
• Video Processing: video compression, networking, understanding, segmentation and tracking, content-based retrieval, multimedia applications

Fundamental theoretical work that spans multiple problem applications is in the area of time-frequency analysis, signal enhancement, models of symbolic time series, pattern recognition and data compression.