Abstract
The co-founder of The Echo Nest, a music intelligence company that now powers recommendation and discovery for most music services, discusses the notion of care and scale, cultural analysis of music, a brief history of music retrieval, and how and why The Echo Nest got started.
- Berenzweig, A., Ellis, D., Logan, B., and Whitman, B. 2003. A large scale evaluation of acoustic and subjective music similarity measures. In Proceedings of the International Symposium on Music Information Retrieval.Google Scholar
- Byrd, D. and Fingerhut, M. 2002. The history of ISMIR -- A short happy tale. D-Lib Mag. 8, 11.Google Scholar
- Cohen, W. W. and Fan, W. 2000. Web-collaborative filtering: Recommending music by crawling the Web. Comput. Netw. 33, 1--6, 685--698. Google Scholar
Digital Library
- Foote, J. 1997. Content-based retrieval of music and audio. In Proceedings of the SPIE Multimedia Storage and Archiving Systems II, 138--147.Google Scholar
Cross Ref
- Jehan, T. 2005. Creating music by listening. Ph.D. dissertation. Massachusetts Institute of Technology.Google Scholar
- Logan, B. 2000. Mel frequency cepstral coefficients for music modeling. In Proceedings of the International Symposium on Music Information Retrieval (ISMIR).Google Scholar
- Shardanand, U. and Maes, P. 1995. Social information filtering: Algorithms for automating “word of mouth”. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI'95), Vol. 1. 210--217. Google Scholar
Digital Library
- Tzanetakis, G., Essl, G., and Cook, P. 2001. Automatic musical genre classification of audio signals. In Proceedings of the International Symposium on Music Information Retrieval (ISMIR). 205--210.Google Scholar
- Whitman, B. and Ellis, D. 2004. Automatic record reviews. In Proceedings of the International Symposium on Music Information Retrieval.Google Scholar
- Whitman, B. and Lawrence, S. 2002. Inferring descriptions and similarity for music from community metadata. In Proceedings of the International Computer Music Conference (ICMC). 591--598.Google Scholar
Index Terms
Care and scale: Fifteen years of music retrieval
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