Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering
Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering
Citació
- Stowell 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.2013.6637691
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Resum
Segregating 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.