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Automatic detection of microchiroptera echolocation calls from field recordings using machine learning algorithms Mark D. Skowronski and John G. Harris Computational Neuro-Engineering Lab Electrical and Computer Engineering University of Florida, Gainesville, FL, USA May 19, 2005
Overview ,[object Object],[object Object],[object Object],[object Object]
Bat detection motivations ,[object Object],[object Object],[object Object],[object Object]
Conventional methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Machine learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detection experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detectors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Feature extraction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Feature extraction examples
Feature extraction examples
Feature extraction examples ,[object Object]
Detection example
Experiment results
Experiment results
Conclusions ,[object Object],[object Object],[object Object],[object Object]
Bioacoustic applications ,[object Object],[object Object],[object Object],[object Object],[object Object]
Further information ,[object Object],[object Object],Acknowledgements Bat data kindly provided by:  Brock Fenton, U. of Western Ontario, Canada

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Automatic detection of microchiroptera echolocation calls ...