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A Review of Audio Fingerprinting and Comparison of Algorithms
by
H. B. Kekre,
Nikita Bhandari,
Nisha Nair,
Purnima Padmanabhan,
Shravya Bhandari
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 70 - Number 13 |
| Year of Publication: 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
},
issue_date = { May 2013 },
volume = { 70 },
number = { 13 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = {
24-30
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume70/number13/12022-8054/
},
doi = { 10.5120/12022-8054 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:46.161040+05:30
%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
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 13
%P 24-30
%D 2013
%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.
References
- Modeling Audio Fingerprints : Structure, Distortion, Capacity by P. J. O Doets
- A Review of Audio Fingerprinting by Pedro Cano AndEloi Battle.
- E. Batlle, J. Masip, and E. Guaus. Automatic song identification in noisy broadcast audio. In IASTED International Conference on Signal and Image Processing, August 2002.
- J. Dittmann. Content-fragile watermarking for image authentication in Security, steganography, and watermarking of multimedia contents III, volume 4314 of Proceedings of the SPIE, pages 175 – 184, January 2001
- J. Dittmann, A. Steinmetz, and R. Steinmetz. Content-based digital signature for motion pictures authentication and content-fragile watermarking. In International Conference on Multimedia Computing and Systems (ICMCS), volume 2, pages 209 – 213, 1999.
- E. G´omez, P. Cano, L. Gomes, E. Batlle, and M. Bonnet. Mixed watermarking fingerprinting approach for integrity verification of audio recordings. In IEEE International Telecommunications Symposium, September 2002.
- C. -P. Wu and C. -C. J. Kuo. Speech content integrity verification integrated with. itu g. 723. 1 speech coding. In IEEE International Conference on Information Technology: Coding and Computing, pages 680 – 684, April 2001
- D. Delannay and B. Macq. Watermarking relying on cover signal content to hide synchronization marks. IEEE Transactions on Information Forensics and Security, 1(1):87 – 101, March 2006. W. Jonker and J. -P. Linnartz. Digital rights management in consumer electronics products. IEEE Signal Processing Magazine, 21(2):82 – 91, March 2004
- S. R. Subramanya and B. K. Yi. Digital rights management. IEEE Potentials, 25(2):31 – 34, March / April 2006
- R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. Addison Wesley, 1999
- S. Theodoris and K. Koutroumbas, Pattern Recognition. Academic Press, 1999
- G. Richly, L. Varga, F. Kov´acs, and G. Hossz´u, "Short-term sound stream characterisation for reliable, real-time occurrence monitoring of given sound-prints," in Proc. 10th Mediterranean Electrotechnical Conference, MEleCon, 2000
- F. Kurth, A. Ribbrock, and M. Clausen, "Identification of highly distorted audio material for querying large scale databases," in Proc. AES 112th Int. Conv. , Munich, Germany, May 2002.
- E. Allamanche, J. Herre, O. Helmuth, B. Fr¨oba, T. Kasten, and M. Cremer, "Content-based identification of audio material using mpeg-7 low level description," in Proc. of the Int. Symp. of Music Information Retrieval, Indiana, USA, Oct. 2002
- J. Haitsma and A. Kalker, "A Highly Robust Audio Fingerprinting System," International Symposium on Music Information Retrieval (ISMIR), pp. 107-115, 2002.
- D. P. W. Ellis. (2009) Robust Landmark-Based Audio Fingerprinting. http://labrosa. ee. columbia. edu/matlab/fingerprint
- A Review of Algorithms for Audio Fingerprinting by Pedro Cano and EloiBatlle and TonKalker and JaapHaitsma
- Comparison of Algorithms for Audio Fingerprinting by Heinrich A. van Nieuwenhuizen, Willie C. Venter and Leenta M. J. Grobler
- F. Balado, N. Hurley, E. McCarthy, and G. Silvestre, "Performance analysis of robust audio hashing," IEEE Trans. Inform. Forensics Security, vol. 2, no. 2, pp. 254–266, June 2007.
- P. Doets and R. Lagendijk, "Distortion estimation in compressed music using only audio fingerprints," IEEE Trans. Audio, Speech, Lang. Process. , vol. 16, no. 2, pp. 302–317, Feb. 2008.
- Audio Fingerprinting Based on Multiple Hashing in DCT Domain Yu Liu, Hwan Sik Yun, and Nam Soo Kim, Member, IEEE
- K. Rao and P. Yip, Discrete Cosine Transform: Algorithms,Advantages, Applications. New York: Academic, 1990.
- N. Ahmed, T. Natarajan, and K. Rao, "Discrete cosine transform," IEEE Trans. Comput. , pp. 90–93, Jan. 1974.
Index Terms
Computer Science
Information Sciences
Keywords