Abstract
In this paper we report the status of our research on the problem of content-based cover song identification in music digital libraries. An approach which exploits both harmonic and rhythmic facets of music is presented and evaluated against a test collection. Directions for future work are proposed, and particular attention is given to the scalability challenge.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cano, P., Batlle, E., Kalker, T., Haitsma, J.: A review of audio fingerprinting. Journal of VLSI Signal Processing 41, 271–284 (2005)
Cano, P., Koppenberger, M., Wack, N.: Content-based music audio recommendation. In: Proceedings of the ACM International Conference on Multimedia, pp. 211–212 (2005)
Wang, A.: An industrial-strength audio search algorithm. In: Proceedings of ISMIR (2003)
Downie, J.: Music information retrieval. Annual Review of Information Science and Technology 37, 295–340 (2003)
Kurth, F., Muller, M.: Efficient index-based audio matching. IEEE Transactions on Audio, Speech, and Language Processing 16(2), 382–395 (2008)
Serra, J., Gomez, E., Herrera, P., Serra, X.: Chroma binary similarity and local alignment applied to cover song identification. IEEE Transactions on Audio, Speech, and Language Processing 16(6), 1138–1151 (2008)
Miotto, R., Orio, N.: A music identification system based on chroma indexing and statistical modeling. In: Proceedings of International Conference on Music Information Retrieval, pp. 301–306 (2008)
Gionis, A., Indyk, P., Motwani, R.: Similarity search in high dimensions via hashing. The VLDB Journal, 518–529 (1999)
Slaney, M., Casey, M.: Locality-sensitive hashing for finding nearest neighbors [lecture notes]. IEEE Signal Processing Magazine 25(2), 128–131 (2008)
Miotto, R., Montecchio, N.: Integration of chroma and rhythm histogram features in a music identification system. In: Proceedings of the Workshop on Exploring Musical Information Spaces, WEMIS (2009)
Lidy, T., Rauber, A.: Evaluation of feature extractors and psycho-acoustic transformations for music genre classification. In: Proceedings of International Conference on Music Information Retrieval, pp. 34–41 (2005)
Ellis, D., Poliner, G.: Identifying ‘cover songs’ with chroma features and dynamic programming beat tracking. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2007, vol. 4, pp. IV-1429–IV-1432 (2007)
Fox, E., Shaw, J.: Combination of multiple searches. In: Proceedings of the Second Text REtrieval Conference (TREC-2), pp. 243–249 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Miotto, R., Montecchio, N., Orio, N. (2010). Content-Based Cover Song Identification in Music Digital Libraries. In: Agosti, M., Esposito, F., Thanos, C. (eds) Digital Libraries. IRCDL 2010. Communications in Computer and Information Science, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15850-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-15850-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15849-0
Online ISBN: 978-3-642-15850-6
eBook Packages: Computer ScienceComputer Science (R0)