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Comparing classification methodologies

Comparing methodologies for classification of zebra finch distance calls



Bioacoustic analysis has been used for a variety of purposes including classifying vocalizations for biodiversity monitoring and understanding mechanisms of cognitive processes. A wide range of statistical methods, including various automated methods, have been used to successfully classify vocalizations based on species, sex, geography, and individual. A comprehensive approach focusing on identifying acoustic features putatively involved in classification is required for the prediction of features necessary for discrimination in the real world.



Classified zebra finch distance calls based on sex with several methods like DFAs, SVMs & ANNs and compared across methodologies.


Comparisons will help understanding features responsible for the classification and provide us options to choose a classification method.


All methods used here classified the calls with high accuracy.