Type of site
Audio clip sharing Available in URL www .xeno-canto .org Commercial No Registration Optional Launched May 30, 2005  Current status Active xeno-canto is a citizen science project and repository in which volunteers record, upload and annotate recordings of birdsong and bird calls. Since it began in 2005, it has collected over 400,000 sound recordings from more than 10,000 species worldwide, and has become one of the biggest collections of bird sounds in the world. All the recordings are published under one of the  Creative Commons licenses, including some with  open licences.
Data from xeno-canto has been re-used in many scientific papers.
   It has also been the source of data for an annual challenge on automatic birdsong recognition ("BirdCLEF") since 2014, conducted as part of the  Conference and Labs of the Evaluation Forum.
The website is supported by a number of academic and
birdwatching institutions worldwide, with its primary support being in the Netherlands.
References [ edit ]
^ a b
"About Xeno Canto". xeno-canto . Retrieved . 2019-04-16
"xeno-canto.org Competitive Analysis, Marketing Mix and Traffic - Alexa". alexa.com . Retrieved . 2020-07-21
Brumm, H. & Naguib, M. (2009), "Environmental acoustics and the evolution of bird song", Advances in the Study of Behavior, 40: 1–33, doi: 10.1016/S0065-3454(09)40001-9
Weir, J.T. & Wheatcroft, D. (2011), "A latitudinal gradient in rates of evolution of avian syllable diversity and song length", Proceedings of the Royal Society B: Biological Sciences, 278 (1712): 1713–1720, doi: 10.1098/rspb.2010.2037, PMC , 3081773 PMID 21068034
Stowell, D.F. & Plumbley, M. D. (2014), "Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning", , PeerJ 2: e488, arXiv: , 1405.6524 Bibcode: 2014arXiv1405.6524S, doi: 10.7717/peerj.488, PMC , 4106198 PMID 25083350
Stowell, D.F.; Musevic,S.; Bonada,J. & Plumbley, M. D. (2013), "Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering", 2013 IEEE International Conference on Acoustics, Speech and Signal Processing: 468–472, arXiv: , 1302.3462 Bibcode: 2013arXiv1302.3462S, doi: 10.1109/ICASSP.2013.6637691, hdl: , 10230/41749 ISBN , 978-1-4799-0356-6 S2CID 3539066
BirdCLEF 2019 webpage
"Colophon and Credits". xeno-canto . Retrieved . 2013-01-07
External links [ edit ]
Wikimedia Commons has media related to . Xeno-canto