COSIN: content-based retrieval system for cover songs
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Searching musical audio datasets by a batch of multi-variant tracks
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
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Content-based audio information retrieval is one of the most interesting and fast-growing research areas. Suitable feature sets can help to reduce the tedious computation time and speed up retrieval. In this paper we report a study of the music spectral properties aimed at the acoustic-based music data similarity measurement and show that the spectral features of adjacent frames are highly correlated. Based on such a case study we mainly focus on making an evaluation of feature choice in the three aspects: storage, computation and retrieval ratio. The extensive evaluations confirm the effectiveness of feature merge in quickening sequence matching for query-by-content audio retrieval and show that MFCC with feature merge is the best tradeoff among storage requirement, computation cost and retrieval ratio.