Using Song to Identify Cassin's Vireo Individuals. A Comparative Study of Pattern Recognition Algorithms

摘要

In this paper, we present a comparative study on the application of pattern recognition algorithms to the identification of bird individuals from their song. A collection of experiments on the supervised classification of Cassin's Vireo individuals were conducted to identify the algorithm that produced the highest classification accuracy. Preliminary results indicated that Multinomial Naive Bayes produced excellent classification of bird individuals.