Research Article

A Survey on Query by Singing/Humming

by  Vyankatesh Kharat, Kalpana Thakare, Kishor Sadafale
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Issue 14
Published: February 2015
Authors: Vyankatesh Kharat, Kalpana Thakare, Kishor Sadafale
10.5120/19608-1484
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Vyankatesh Kharat, Kalpana Thakare, Kishor Sadafale . A Survey on Query by Singing/Humming. International Journal of Computer Applications. 111, 14 (February 2015), 39-42. DOI=10.5120/19608-1484

                        @article{ 10.5120/19608-1484,
                        author  = { Vyankatesh Kharat,Kalpana Thakare,Kishor Sadafale },
                        title   = { A Survey on Query by Singing/Humming },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 111 },
                        number  = { 14 },
                        pages   = { 39-42 },
                        doi     = { 10.5120/19608-1484 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Vyankatesh Kharat
                        %A Kalpana Thakare
                        %A Kishor Sadafale
                        %T A Survey on Query by Singing/Humming%T 
                        %J International Journal of Computer Applications
                        %V 111
                        %N 14
                        %P 39-42
                        %R 10.5120/19608-1484
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Performing comparison search in huge databases is a difficulty of particular concern in several communities, such as music, database, and data mining. A number of query by humming/singing (QBH) systems have evolved in recent years, which can search for the song without manual input. Query by humming systems will return a structured list of songs according to the similarity between humming and intent song according to the given melodies hummed by the users. Query by humming uses a content-based music information retrieval (MIR) method which is an efficient way to search the song from a large database. This paper is focused on providing a brief overview of query by singing/humming systems and methods are available in literature.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Query by humming/singing Music Information Retrieval dynamic time warping Hidden Markov Models

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