Stowell, DanMuševič, SašoBonada, Jordi, 1973-Plumbley, Mark D.2019-06-132019-06-132013Stowell D, Musevic S, Bonada J, Plumbley MD. Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing; 2013 May 26-31; Vancouver, Canada. Nova Jersey: Institute of Electrical and Electronics Engineers; 2013. p. 468-72. DOI: 10.1109/ICASSP.2013.66376911520-6149http://hdl.handle.net/10230/41749Segregating an audio mixture containing multiple simultaneous bird sounds is a challenging task. However, birdsong often contains rapid pitch modulations, and these modulations carry information which may be of use in automatic recognition. In this paper we demonstrate that an improved spectrogram representation, based on the distribution derivative method, leads to improved performance of a segregation algorithm which uses a Markov renewal process model to track vocalisation patterns consisting of singing and silences.application/pdfeng© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/ICASSP.2013.6637691info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICASSP.2013.6637691BirdsongMarkov renewal processMultiple trackingDistribution derivative methodReassignmentinfo:eu-repo/semantics/openAccess