SVD-based classification of bird singing in different time-frequency domains using multitapers

In this paper, a novel method for analysing a bird's song is presented. The song of male great reed warblers is used for developing and testing the methods. A robust method for detecting syllables is proposed and a classification of those syllables as compared to reference syllables is done. The extraction of classification features are based on the use of singular vectors in different time-frequency domains, such as the ambiguity and the doppler domains, in addition to the usual sonogram. The analysis is also made using multitaper analysis where the Welch method and the Thomson multitapers are compared to the more recently proposed locally stationary process multitapers.