The Signal and Information Processing area concerns the representation, processing, analysis, and communication of the information in all kinds of signals including audio, video, and biological or sensory data. Our research includes developing novel theoretical and practical approaches to signal modeling, detection/estimation, statistical learning, and the recognition, organization, and understanding of signal content.
Research areas: Audio signal processing and content analysis, with applications to speech, music, environmental sound, and bioacoustics. Statistical pattern recognition applied to audio, and techniques for analyzing large audio archives. Acoustic scene analysis, auditory modeling, and acoustic source separation.