báo cáo hóa học:" Research Article An Adaptive Framework for Acoustic Monitoring of Potential Hazards"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article An Adaptive Framework for Acoustic Monitoring of Potential Hazards | Hindawi Publishing Corporation EURASIP Journal on Audio Speech and Music Processing Volume 2009 Article ID 594103 15 pages doi 2009 594103 Research Article An Adaptive Framework for Acoustic Monitoring of Potential Hazards Stavros Ntalampiras 1 Ilyas Potamitis 2 and Nikos Fakotakis1 1Electrical and Computer Engineering Department University of Patras Rio-Patras 26500 Greece 2Department of Music Technology and Acoustics Technological Educational Institute of Crete Daskalaki-Perivolia Crete 74100 Greece Correspondence should be addressed to Stavros Ntalampiras sntalampiras@ Received 7 March 2009 Revised 19 June 2009 Accepted 3 August 2009 Recommended by Vijay Parsa Robust recognition of general audio events constitutes a topic of intensive research in the signal processing community. This work presents an efficient methodology for acoustic surveillance of atypical situations which can find use under different acoustic backgrounds. The primary goal is the continuous acoustic monitoring of a scene for potentially hazardous events in order to help an authorized officer to take the appropriate actions towards preventing human loss and or property damage. A probabilistic hierarchical scheme is designed based on Gaussian mixture models and state-of-the-art sound parameters selected through extensive experimentation. A feature of the proposed system is its model adaptation loop that provides adaptability to different sound environments. We report extensive experimental results including installation in a real environment and operational detection rates for three days of function on a 24 hour basis. Moreover we adopt a reliable testing procedure that demonstrates high detection rates as regards average recognition miss probability and false alarm rates. Copyright 2009 Stavros Ntalampiras et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium

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