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A Survey on Query by Singing/Humming
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 111 - Number 14 |
| Year of Publication: 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
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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