Browse > Article
http://dx.doi.org/10.7776/ASK.2014.33.3.210

Audio Fingerprinting Based on Constant Q Transform for TV Commercial Advertisement Identification  

Ryu, Sang Hyeon (광운대학교 전파공학과)
Kim, Hyoung-Gook (광운대학교 전파공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.33, no.3, 2014 , pp. 210-215 More about this Journal
Abstract
In spite of distortion caused by noise and echo, the audio fingerprinting technique must identify successfully an audio source. This audio fingerprinting technique is applying for TV commercial advertisement identification. In this paper, we propose a robust audio fingerprinting method for TV commercial advertisement identification. In the proposed method, a prominent audio peak pair fingerprint based on constant Q transform improves the accuracy of the audio fingerprinting system in real noisy environments. Experimental results confirm that the proposed method is quite robust than previous audio fingerprinting method in different noise conditions and achieves promising accurate results.
Keywords
Audio fingerprinting; Modulation constant Q transform; Content identification; Robust matching;
Citations & Related Records
연도 인용수 순위
  • Reference
1 X. Anguera, A. Garzon, and T. Adamek, "MASK: robust local feature for audio fingerprinting," IEEE ICME, 455-460 (2012).
2 M. Malekesmaeili, and R. K. Ward, "A novel local audio fingerprinting algorithm," IEEE 14th Int'l Workshop on MMSP, 136-140 (2012).
3 T. Jiang, R. Wu, J. Li, K. Xiang, and F. Dai, "A realtime peak discovering method for audio fingerprinting," in Proc. of 5th ICIMCS, 368-371 (2013).
4 M. Park, H. Kim, and S. Yang, "Frequency temporal filtering for a robust audio fingerprinting scheme in real-noise environment," J. ETRI, 28, 509-512 (2006).   DOI   ScienceOn
5 W. Son, H.-T. Cho, K. Yoon, and S.-P. Lee, "Subfingerprint masking for a robust audio fingerprinting system in a real noise environment for portable consumer devices," IEEE Trans. on CE, 56, 156-169 (2010).
6 X. Pan, X. Yu, J. Deng, W. Yang, and H. Wang, "Audio fingerprinting based on local energy centroid," IET Int'l CCWMC, 351-354 (2011).
7 V. Chandrasekhar, M. Sharifi, and D. A. Ross, "Survey and evaluation of audio fingerprinting schemes for mobile query-by-example applications," in Proc. of 12th ISMIR, 801-806 (2011).
8 A. Wang, "An industrial strength audio search algorithm," in Proc. of 4th ISMIR, 7-13 (2003).
9 J. Haitsma, and T. Kalker, "A highly robust audio fingerprinting system," in Proc. of 3rd ISMIR, 107-115 (2002).