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

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.