{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T04:36:49Z","timestamp":1691642209144},"reference-count":23,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/100012007","name":"Rockefeller University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012007","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>The singing of juvenile songbirds is highly variable and not well stereotyped, a feature that makes it difficult to analyze with existing computational techniques. We present here a method suitable for analyzing such vocalizations, windowed spectral pattern recognition (WSPR). Rather than performing pairwise sample comparisons, WSPR measures the typicality of a sample against a large sample set. We also illustrate how WSPR can be used to perform a variety of tasks, such as sample classification, song ontogeny measurement, and song variability measurement. Finally, we present a novel measure, based on WSPR, for quantifying the apparent complexity of a bird\u2019s singing.<\/jats:p>","DOI":"10.1155\/2012\/261010","type":"journal-article","created":{"date-parts":[[2012,6,5]],"date-time":"2012-06-05T06:55:41Z","timestamp":1338879341000},"page":"1-13","source":"Crossref","is-referenced-by-count":4,"title":["Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds"],"prefix":"10.1155","volume":"2012","author":[{"given":"Cameron D.","family":"Wellock","sequence":"first","affiliation":[{"name":"Laboratory of Biological Modeling, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA"}]},{"given":"George N.","family":"Reeke","sequence":"additional","affiliation":[{"name":"Laboratory of Biological Modeling, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA"}]}],"member":"98","reference":[{"issue":"1253","key":"1","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1098\/rstb.1990.0155","volume":"329","year":"1990","journal-title":"Philosophical Transactions of the Royal Society of London Series B"},{"key":"2","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1086\/282756","volume":"106","year":"1972","journal-title":"American Naturalist"},{"issue":"1","key":"3","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/S0003-3472(83)80193-6","volume":"31","year":"1983","journal-title":"Animal Behaviour"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.22.1.567"},{"key":"5","year":"1967"},{"issue":"1","key":"8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/TASSP.1978.1163055","volume":"26","year":"1978","journal-title":"IEEE Transactions on Acoustics, Speech, and Signal Processing"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1121\/1.421364"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1006\/anbe.1999.1416"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s00265-010-1065-2"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0001461"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1038\/nature07994"},{"issue":"c","key":"16","first-page":"53","volume":"20","year":"1987","journal-title":"Journal of Computational and Applied Mathematics"},{"issue":"2","key":"19","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1016\/0005-2795(75)90109-9","volume":"405","year":"1975","journal-title":"Biochimica et Biophysica Acta"},{"key":"20","first-page":"100","volume":"28","year":"1979","journal-title":"Journal of the Royal Statistical Society Series C"},{"issue":"8","key":"21","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1097\/00001756-200006050-00030","volume":"11","year":"2000","journal-title":"NeuroReport"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.91.11.5033"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.63.105"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/BF00668821"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1162\/089976601753195969"},{"key":"26","year":"1991"},{"key":"27","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","year":"1951","journal-title":"The Annals of Mathematical Statistics"},{"issue":"2","key":"28","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MASSP.1984.1162229","volume":"1","year":"1984","journal-title":"IEEE ASSP Magazine"},{"key":"29","first-page":"289","volume-title":"Short-time fourier transform","year":"1987"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2012\/261010.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2012\/261010.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2012\/261010.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T03:47:56Z","timestamp":1588823276000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cin\/2012\/261010\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":23,"alternative-id":["261010","261010"],"URL":"https:\/\/doi.org\/10.1155\/2012\/261010","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}