Acoustic Classification of Bird Species from Syllables : an Empirical Study

A large-scale empirical study to evaluate algorithms for classifying bird species from audio using combinations of 3 feature sets, finding Random Forest is always close to AdaBoost and usually more accurate than SVM, while being an order of magnitude faster than both.