{"data":{"id":"10.6084/m9.figshare.4805749.v2","type":"dois","attributes":{"doi":"10.6084/m9.figshare.4805749.v2","prefix":"10.6084","suffix":"m9.figshare.4805749.v2","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Nicholson, David","nameType":"Personal","givenName":"David","familyName":"Nicholson","affiliation":[],"nameIdentifiers":[]},{"name":"Queen, Jonah E.","nameType":"Personal","givenName":"Jonah E.","familyName":"Queen","affiliation":[],"nameIdentifiers":[]},{"name":"Sober, Samuel J.","nameType":"Personal","givenName":"Samuel J.","familyName":"Sober","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Bengalese Finch song repository"}],"publisher":"figshare","container":{},"publicationYear":2017,"subjects":[{"subject":"60805 Animal Neurobiology","subjectScheme":"FOR"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Neuroscience and Physiological Psychology"},{"subject":"60801 Animal Behaviour","subjectScheme":"FOR"},{"subject":"Behavioral Neuroscience"},{"subject":"Neuroscience"},{"subject":"170203 Knowledge Representation and Machine Learning","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Artificial Intelligence and Image Processing"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80201 Analysis of Algorithms and Complexity","subjectScheme":"FOR"},{"subject":"80108 Neural, Evolutionary and Fuzzy Computation","subjectScheme":"FOR"},{"subject":"80109 Pattern Recognition and Data Mining","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2017-03-30","dateType":"Created"},{"date":"2019-04-26","dateType":"Updated"},{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.4805749","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["9019192758 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This is a collection of song from four Bengalese finches recorded in the Sober lab at Emory University. The song has been hand-labeled by two of the authors. We share it as a means of testing different machine learning algorithms for classifying the elements of birdsong, known as syllables. A Python package, hybrid-vocal-classifier (HVC), has been tested using this dataset: https://github.com/NickleDave/hybrid-vocal-classifier. \u003cbr\u003eThe actual sound files have the extension .cbin and were collected using the program EvTAF. They can be loaded with the `load_cbin` function in the `evfuncs` module of HVC. Each .cbin file has an associated .cbin.not.mat file that contains song syllable onsets, offsets, labels, etc. These files can be opened with the `load_notmat` function in the `evfuncs` module. Each .cbin file also has associated .tmp and .rec files also created by EvTAF. Those files are not strictly required to work with this dataset but are included for completeness.\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshar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