Wavelet transform digital sound processing to identify wild bird species

The application of digital signal processing for detection and preservation of different species has been progressing rapidly. In this paper, one such better approach as applied to wild bird species is presented. Feature extraction is done by first performing wavelet transform on sampled bird sounds. After which frequency conversion and determination of mean value that determine the strength of the frequency ingredient is obtained; furthermore, the uniqueness of the modulation spectrum is used as an additional input for the detection mechanism of the birdcall's frequency. The obtained feature quantities then become input to the neural network to simplify classification of nocturnal wild bird species.