"Correlation and Autocorrelation and Their Application to Speech Processing "
Thursday, November 12, '09, 2:30-3:30 pm
Science West, Room 122

Dr. Uche Abanulo teaches electrical engineering courses in the Department of Physics, Engineering & Geosciences. She received her BSEE, MSEE, and PhD in Electrical Engineering from Temple University, earning several academic distinctions and scholarships. Her research focuses on speech (signal) processing and the development of an automatic speaker count system for telephone data. She is the co-principal investigator for a speech processing research grant from the United States Air Force Research Laboratory in Rome, NY.

ABSTRACT: Cross-correlation is the process of determining the similarity between two signals by applying a time-lag to one of them and then computing a sliding dot-product of the overlapping regions. When the two signals being compared are exactly the same, the process is referred to as autocorrelation. This measure is employed widely in the field of speech processing where pattern recognition and signal comparison are almost inevitable. In this presentation, an overview of cross- and auto-correlation will be given along with practical demonstrations of their applications in automatic speech processing techniques.