Research Article
A Survey on Query by Singing/Humming
|
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
|
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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