Author Recognition from Lyrics

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dc.contributor.authorKirmaci, Basar
dc.contributor.authorOgul, Hasan
dc.date.accessioned2023-11-10T12:49:55Z
dc.date.available2023-11-10T12:49:55Z
dc.date.issued2015
dc.description.abstractMusic information retrieval has been an important task due to the wide use of internet and related technologies for entertainment. In previous studies, the problem has been considered using the meta-data or melodic content. The use of lyrics in this context is not that common. There is not study either for Turkish songs in this respect. In this study, we discuss the predictability of the author using the text data in a Turkish lyric. To this end, we propose a system that can predict the author using the features extracted from text content. The performance of the system is evaluated on a large data set collected from writers with different music styles.en_US
dc.identifier.endpage2492en_US
dc.identifier.isbn978-1-4673-7386-9en_US
dc.identifier.issn2165-0608en_US
dc.identifier.scopus2-s2.0-84939186803en_US
dc.identifier.startpage2489en_US
dc.identifier.urihttp://hdl.handle.net/11727/10824
dc.identifier.wos000380500900606en_US
dc.language.isoturen_US
dc.relation.isversionof10.1109/SIU.2015.7130389en_US
dc.relation.journal23nd Signal Processing and Communications Applications Conference (SIU)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInformation retrievalen_US
dc.subjectmusic recommendation systemen_US
dc.subjectclassificationen_US
dc.subjectlyric analysisen_US
dc.subjecttext featuresen_US
dc.titleAuthor Recognition from Lyricsen_US
dc.typeConference Objecten_US

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