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 …
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 …
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. 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 …
the paper. Bird voices were recorded in a highly noised municipal environment. High 96 kHz
sampling frequency has been used. 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 …
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