Title :
Nocturnal wild bird species identification by sound information using wavelet
Author :
Rong Sun ; Mita, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kumamoto Univ., Kumamoto, Japan
Abstract :
Nocturnal wild bird species identification by sound information using wavelet is investigated. As the method, firstly, perform frequency conversion of a bird call. From there, obtained the mean value express the strength of the frequency ingredient and the modulation spectrums express the frequency of the bird call. Next, input feature quantity into the neural network for classification.
Keywords :
audio signal processing; biology computing; modulation; neural nets; signal classification; wavelet transforms; classification; frequency conversion; mean value; modulation spectrums; neural network; nocturnal wild bird species identification; sound information; wavelet transform; Abstracts; Birds; Speech; Speech enhancement; Xenon; Wavelet transform; bird sound; mean value; modulation spectrum; neural network;
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1684-2
DOI :
10.1109/ICWAMTIP.2012.6413425