Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6631
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dc.contributor.authorDoshi, Jainesh-
dc.date.accessioned2016-07-13T08:44:23Z-
dc.date.available2016-07-13T08:44:23Z-
dc.date.issued2016-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/6631-
dc.description.abstractSurvey of the Music Information retrieval (MIR), in particular paying attention to latest developments, such as singer identification. First elaborate on well-established and proven methods for feature extraction and singer identification, from sound files. But in music information retrieval domain, singer identification is very difficult topic. Because with singing voice, background instrumental music is also included which reduces the performance of the system. Subsequently, review of current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards singer identification. A discussion follows about the important aspect of how various Music Information Re- trieval approaches to different problems are evaluated and compared. Eventually, a dis- cussion about the major open challenges concludes the survey.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries13MCEC31;-
dc.subjectComputer 2014en_US
dc.subjectProject Report 2014en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject14MCEen_US
dc.subject14MCECen_US
dc.subject13MCEC31en_US
dc.titleSinger Identificationen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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