HFCC based recognition of bird species

Results from preliminary research on recognition of Polish birds' species are presented in the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz sampling frequency has been used in order to record birds' voices. As a feature set standard mel-frequency cepstral coefficients (MFCC) and recently proposed human-factor cepstral coefficients (HFCC) parameters were selected. Superior performance of the HFCC features over MFCC ones has been observed. Proper limiting of the maximal frequency during HFCC feature extraction results in increasing accuracy of birds' species recognition. Good initial results are very promising for practical application of the methods described in the paper in monitoring of protected birds' area.