International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 111 - Issue 14 |
Published: February 2015 |
Authors: Vyankatesh Kharat, Kalpana Thakare, Kishor Sadafale |
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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
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.