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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 | Size | Format | |
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13MCEC31.pdf | 13MCEC31 | 1.88 MB | Adobe PDF | ![]() View/Open |
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