A framework for robust audio fingerprinting

Journal of Communications

Volumn 5, Issue 5, 2010, Pages 409-424

  Bellettini, Carlo ^a   Mazzini, Gianluca ^a  

^a UNIVERSITY OF FERRARA   (Italy)

Author keywords

Audio fingerprinting; Broadcast monitoring; Music indexing and retrieval

Indexed keywords

AUDIO FINGERPRINTING; BROADCAST MONITORING; DRIVE DESIGN; FINGERPRINTING ALGORITHM; INDEXING ALGORITHMS; MUSIC INDEXING; RETRIEVAL METHODS;

DIGITAL WATERMARKING; INDEXING (OF INFORMATION); SECURITY OF DATA;

AUDIO ACOUSTICS;

EID: 78651595962     PISSN: 17962021     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcm.5.5.409-424     Document Type: Article

References (40)

1. P. Cano, E. Batlle, T. Kalker, and J. Haitsma, A review of audio fingerprinting, The Journal of VLSI Signal Processing, vol. 41, no. 3, pp. 271-284, 2005.
2. R. Typke, F. Wiering, and R. Veltkamp, A survey of music information retrieval systems, in Proceedings of the 6th International Conference on Music Information Retrieval, 2005.
3. P. Cano, E. Batlle, H. Mayer, and H. Neuschmied, Robust sound modeling for song detection in broadcast audio, Proceedings of the 112th AES Convention, pp. 1-7, 2002.
4. J. Haitsma, T. Kalker, and J. Oostveen, Robust audio hashing for content identification, in International Workshop on Content- Based Multimedia Indexing. Citeseer, 2001.
5. J. Haitsma and T. Kalker, A highly robust audio fingerprinting system with an efficient search strategy, Journal of New Music Research, vol. 32, no. 2, pp. 211-221, 2003.
6. Ö zer, B. Sankur, N. Memon, and E. Anarim, Perceptual audio hashing functions, EURASIP Journal on Applied Signal Processing, vol. 2005, no. 1, pp. 1780-1793, 2005.
7. D. Jang, S. Lee, J. Lee, M. Jin, J. Seo, S. Lee, and C. Yoo, Automatic Commercial Monitoring for TV Broadcasting Using Audio Fingerprinting, in Proceedings of the 29th Audio Engineering Society Conference, 2006, pp. 38-43.
8. C. Burges, D. Plastina, J. Platt, E. Renshaw, and H. Malvar, Using audio fingerprinting for duplicate detection and thumbnail generation, in IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, 2005.
9. A. Ghias, J. Logan, D. Chamberlin, and B. Smith, Query by humming: musical information retrieval in an audio database, in Proceedings of the third ACM international conference on Multimedia. ACM New York, NY, USA, 1995, pp. 231-236.
10. Melodis Corporation, midomi, http://www.midormi.com, 2008.
11. V. Venkatachalam, L. Cazzanti, N. Dhillon, M. Wells, M. Inc, and W. Kirkland, Automatic identification of sound recordings, IEEE Signal Processing Magazine, vol. 21, no. 2, pp. 92-99, 2004.
12. C. Burges, J. Platt, and S. Jana, Extracting noise-robust features from audio data, in IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002, vol. 1. Citeseer, 2002.
13. A. Ramalingam, Gaussian mixture modeling of short-time Fourier transform features for audio fingerprinting, IEEE Transactions on Information Forensics and Security, vol. 1, no. 4, pp. 457-463, 2006.
14. C. Burges, J. Platt, and S. Jana, Distortion discriminant analysis for audio fingerprinting, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 3, pp. 165-174, 2003.
15. L. Shen, Y. Guan, Y. Wu, and Y. Zhao, Fast audio fingerprint search strategy for song identification, Networking and Digital Society, International Conference on, vol. 2, pp. 259-262, 2009.
16. N. Orio, Automatic identification of audio recordings based on statistical modeling, Signal Processing (Elsevier), 2010.
17. S. Baluja and M. Covell, Waveprint: Efficient wavelet-based audio fingerprinting, Pattern Recognition (Elsevier), vol. 41, no. 11, pp. 3467-3480, 2008.
18. S. Sukittanon and L. Atlas, Modulation frequency features for audio fingerprinting, in IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, 2002.
19. L. Ghouti and A. Bouridane, A robust perceptual audio hashing using balanced multiwavelets, in IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, May 2006.
20. Y. Liu, K. Cho, H. S. Yun, J. W. Shin, and N. S. Kim, Dct based multiple hashing technique for robust audio fingerprinting, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 0, pp. 61-64, 2009.
21. F. Kurth and M. Clausen, Full-text indexing of very large audio data bases, in Proceedings of the 110th AES Convention. Cite-seer, 2001.
22. F. Kurth, A. Ribbrock, and M. Clausen, Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases, in Proceedings of the 112th AES Convention. Citeseer, 2002.
23. J. Goldstein, J. Platt, and C. Burges, Redundant bit vectors for quickly searching high-dimensional regions, Lecture notes in computer science (Springer), vol. 3635, p. 137, 2005.
24. J. Haitsma and T. Kalker, Speed-change resistant audio finger-printing using auto-correlation, in IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, 2003.
25. F. Balado, N. Hurley, E. McCarthy, and G. Silvestre, Performance analysis of robust audio hashing, IEEE Transactions on Information Forensics and Security, vol. 2, no. 2, pp. 254-266, 2007.
26. P. Doets and R. Lagendijk, Distortion Estimation in Compressed Music Using Only Audio Fingerprints, IEEE Transactions on Audio Speech and Language Processing, vol. 16, no. 2, p. 302, 2008.
27. A. Wang, An industrial strength audio search algorithm, in Proceedings of the 4th International Conference on Music Information Retrieval, 2003.
28. S. Kim and C. Yoo, Boosted binary audio fingerprint based on spectral subband moments, in IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, April 2007, pp. I-241-I-244.
29. D. Jang and C. D. Yoo, Fingerprint matching based on distance metric learning, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 0, pp. 1529-1532, 2009.
30. C. Bellettini and G. Mazzini, On audio recognition performance via robust hashing, in International Symposium on Intelligent Signal Processing and Communication Systems, 2007, pp. 20-23.
31. T. Wang, Integer hash function, http://burtleburtle.net/bob/hash/integer.html, March 2007.
32. R. Jenkins, Hash table lookup, http://burtleburtle.net/bob/c/lookup3.c, May 2006.
33. T. Li, M. Ogihara, and Q. Li, A comparative study on content-based music genre classification, in Proceedings of the 26th International Conference on Research and Development in Information Retrieval. ACM New York, NY, USA, 2003, pp. 282-289.
34. G. Tzanetakis and P. Cook, Musical genre classification of audio signals, IEEE Transactions on speech and audio processing, vol. 10, no. 5, pp. 293-302, 2002.
35. F. Gouyon, A. Klapuri, S. Dixon, M. Alonso, G. Tzanetakis, C. Uhle, and P. Cano, An experimental comparison of audio tempo induction algorithms, IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, no. 5, pp. 1832-1844, 2006.
36. C. Panagiotakis and G. Tziritas, A speech/music discriminator based on RMS and zero-crossings, IEEE Transactions on Multimedia, vol. 7, no. 1, pp. 155-166, 2005.
37. C. Bellettini and G. Mazzini, Reliable Automatic Recognition for Pitch-Shifted Audio, in Proceedings of 17th International Conference on Computer Communications and Networks, 2008, pp. 1-6.
38. Bernsee, Pitch shifting using the fourier transform,http://www.dspdimension.com/admin/pitch-shifting-using-the-ft/, May 2008.
39. Audacity, http://audacity.sourceforge.net/.
40. Knowmark s.r.l., http://www.knowmark.it.