Abstract
Nowadays acoustic sensors collect huge amount of data on a regular basis to monitor various activities. This necessitates automated audio event recognition using acoustic data. In this talk, we will present effective methods for detecting and classifying different audio events. Interesting ideas and results will be shown for the proposed methods related to biological/bioacoustic signals.
Brief Biography
Farook Sattar obtained the B.Eng(EEE) and M.Eng(EEE) from Bangladesh University of Engineering & Technology, Dhaka. He received Technical Licentiate and PhD degrees from Lund University, Sweden. He has extensive experience and expertise as an academic as well as in collaborating across multiple disciplines. He was a faculty member in the Dept. of Information Eng., School of EEE, Nanyang Technological University, Singapore before he moved to Canada with family. He has been affiliated with various universities/institutions in Canada as a research faculty as well as visiting scientist and academic advisor. His research interests include signal and image processing, pattern recognition & machine learning, intelligent systems, speech/audio processing, bioacoustics, big data, computer vision and data hiding. He has published over 130 research articles in refereed journals, conference proceedings, and book chapters.