A new chroma-based dynamic feature vector is proposed inspired by psychophysical observations that the human auditory system detects reltative pitch changes rather than absolute pitch values. The proposed chroma-based dynamic feature vector describes the relative pitch change intervals. The utility of the proposed feature vector incorporated with a music fingerprint extraction algorithm is experimentally explored within a music cover song identification framework. The results with a Classical music database suggest that the proposed biologically plausible dynamic chroma feature vector can be successfully added to the conventional chroma feature vector as a complementary feature; it provides a 5.8% relative performance improvement. © 2008 IEEE.
CITATION STYLE
Kim, S., & Narayanan, S. (2008). Dynamic chroma feature vectors with applications to cover song identification. In Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 (pp. 984–987). https://doi.org/10.1109/MMSP.2008.4665217
Mendeley helps you to discover research relevant for your work.