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Classification of bird song syllables using singular vectors of the multitaper spectrogram
2015
2015 23rd European Signal Processing Conference (EUSIPCO)
Classification of song similarities and differences in one bird species is a subtle problem where the actual answer is more or less unknown. In this paper, the singular vectors when decomposing the multitaper spectrogram are proposed to be used as feature vectors for classification. The advantage is especially for signals consisting of several components which have stochastic variations in the amplitudes as well as the time-and frequency locations. The approach is evaluated and compared to
doi:10.1109/eusipco.2015.7362444
dblp:conf/eusipco/Hansson-Sandsten15
fatcat:ylhfrigbkzcijbzrchvittiwrm