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Bird song identification using artificial neural networks and statistical analysis

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2 Author(s)
McIlraith, A.L. ; Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada ; Card, H.C.

A system for automatically identifying six bird species by their songs was implemented. Pre-processing of sampled songs extracted temporal measurements of periods of sound and silence within songs. Power spectral densities were used to extract spectral information. Statistical methods were used to reduce data dimensionality and for identification tasks. An artificial neural network was also used for identification. Quadratic discriminant analysis achieved a 93%, and a backpropagation neural network 82% overall accuracy

Published in:

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on  (Volume:1 )

Date of Conference:

25-28 May 1997