• DOI:10.1109/ICASSP.2013.6637691
Corpus ID: 3539066

Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering

@article{Stowell2013ImprovedMB,
  title={Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering},
  author={D. Stowell and Saso Musevic and J. Bonada and Mark D. Plumbley},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={468-472}
}

D. Stowell, Saso Musevic, +1 author Mark D. Plumbley

Published 2013

Computer Science

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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… CONTINUE READING

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