Mining transposed motifs in music

Author:

Jiménez Aída,Molina-Solana Miguel,Berzal Fernando,Fajardo Waldo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference27 articles.

1. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In 20th int. conf. on very large data bases (pp. 487–499).

2. Aucouturier, J. J., & Sandler, M. (2002). Finding repeating patterns in acoustic musical signals: Applications for audio thumbnailing. In Audio engineering 22nd int. conf. on virtual, synthetic and entertainment audio (AES22) (pp. 412–421).

3. Bartsch, M., & Wakefield, G. (2005). Audio thumbnailing of popular music using chroma-based representations. IEEE Transactions on Multimedia, 7(1), 96–104.

4. Berzal, F., Fajardo, W., Jiménez, A., & Molina-Solana, M. (2009). Mining musical patterns: Identification of transposed motives. In 18th Int. symposium of foundations of intelligent systems. Lecture Notes in Computer Science, vol. 5722, pp. 271–280.

5. Böckenhauer, H. J., & Bongartz, D. (2007). Algorithmic aspects of bioinformatics. New York: Springer.

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