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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 todoi:10.1109/eusipco.2015.7362444 dblp:conf/eusipco/Hansson-Sandsten15 fatcat:ylhfrigbkzcijbzrchvittiwrm