Music copyright protection system using fuzzy similarity measure for music phoneme segmentation

Authors:
Kwang-Ho Kim;Minkyu Lim;Ji-Hwan Kim
Affiliations:
Department of Computer Science and Engineering, Sogang University, Seoul, Korea;Department of Computer Science and Engineering, Sogang University, Seoul, Korea;Department of Computer Science and Engineering, Sogang University, Seoul, Korea
Venue:
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Year:
2009

Citing 2
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A statistical approach to retrieval under user-dependent uncertainty in query-by-humming systems

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Hybrid query by humming and metadata search system (HQMS)

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Abstract

In this paper, we propose a method for rejection using fuzzy similarity measure and devise a music copyright protection system with the combination of this rejection method and our previous HMM-based music identification system. We implement a music copyright protection system for 1,100 registered music files. Our system demonstrates identification results of 100% for these registered music files and robust identification performance for all signal-level variations of these files. Applying our method of rejection, the system successfully rejects 495 of 500 unregistered music files while its false acceptance rate stands at 0%. Surprisingly, the system achieves additional improvement in music identification when employing this rejection method.