Research Article
A Review of Audio Fingerprinting and Comparison of Algorithms
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 70 - Issue 13 |
| Published: May 2013 |
| Authors: H. B. Kekre, Nikita Bhandari, Nisha Nair, Purnima Padmanabhan, Shravya Bhandari |
10.5120/12022-8054
|
H. B. Kekre, Nikita Bhandari, Nisha Nair, Purnima Padmanabhan, Shravya Bhandari . A Review of Audio Fingerprinting and Comparison of Algorithms. International Journal of Computer Applications. 70, 13 (May 2013), 24-30. DOI=10.5120/12022-8054
@article{ 10.5120/12022-8054,
author = { H. B. Kekre,Nikita Bhandari,Nisha Nair,Purnima Padmanabhan,Shravya Bhandari },
title = { A Review of Audio Fingerprinting and Comparison of Algorithms },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 70 },
number = { 13 },
pages = { 24-30 },
doi = { 10.5120/12022-8054 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A H. B. Kekre
%A Nikita Bhandari
%A Nisha Nair
%A Purnima Padmanabhan
%A Shravya Bhandari
%T A Review of Audio Fingerprinting and Comparison of Algorithms%T
%J International Journal of Computer Applications
%V 70
%N 13
%P 24-30
%R 10.5120/12022-8054
%I Foundation of Computer Science (FCS), NY, USA
Abstract
An audio finger print is a small set of features that uniquely identifies a song. An audio fingerprint can be used for broadcast monitoring, audience measurement, meta-data collection. The general framework for building an audio fingerprint includes a front- end and a finger print modeling block. This paper details various uses and properties of an audio fingerprint and also the various stages included in the front end. Two algorithms namely - PRH and MLH have been discussed.
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