Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6631
Title: Singer Identification
Authors: Doshi, Jainesh
Keywords: Computer 2014
Project Report 2014
Computer Project Report
Project Report
14MCE
14MCEC
13MCEC31
Issue Date: 1-Jun-2016
Publisher: Institute of Technology
Series/Report no.: 13MCEC31;
Abstract: Survey 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.
URI: http://hdl.handle.net/123456789/6631
Appears in Collections:Dissertation, CE

Files in This Item:
File Description SizeFormat 
13MCEC31.pdf13MCEC311.88 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.