“Ficedula”: an open-source MATLAB toolbox for cutting, segmenting and computer-aided clustering of bird song
Author:
Funder
National Research, Development and Innovation Office, Hungary
Publisher
Springer Science and Business Media LLC
Link
http://link.springer.com/article/10.1007/s10336-018-1581-9/fulltext.html
Reference33 articles.
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2. Briefer E, Aubin T, Lehongre K, Rybak F (2008) How to identify dear enemies: the group signature in the complex song of the Skylark Alauda arvensis. J Exp Biol 211:317–326. https://doi.org/10.1242/jeb.013359
3. Briefer E, Osiejuk TS, Rybak F, Aubin T (2010) Are bird song complexity and song sharing shaped by habitat structure? An information theory and statistical approach. J Theor Biol 262:151–164. https://doi.org/10.1016/j.jtbi.2009.09.020
4. Brumm H, Zollinger SA, Niemelä PT, Sprau P (2017) Measurement artefacts lead to false positives in the study of birdsong in noise. Methods Ecol Evol 8:1617–1625. https://doi.org/10.1111/2041-210X.12766
5. Catchpole CK, Slater PJB (2008) Bird song: biological themes and variations, vol 2nd. Cambridge University Press, Cambridge
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