International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 70 - Issue 13 |
Published: May 2013 |
Authors: H. B. Kekre, Nikita Bhandari, Nisha Nair, Purnima Padmanabhan, Shravya Bhandari |
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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
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.