Content-based music audio recommendation

Fecha de publicación

2018-02-16T11:11:53Z

2018-02-16T11:11:53Z

2005

Resumen

Additional authors: José Pedro Garcia, Thomas Aussenac, Ricard Marxer, Jaume Masip, Òscar Celma, David García, Emilia Gómez, Fabien Gouyon, Enric Guaus, Perfecto Herrera, Jordi Masseguer, Beesuan Ong, Miguel Ramirez, Sebastian Streich and Xavier Serra.


We present the MusicSurfer, a metadata free system for the interaction with massive collections of music. MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals. Together with efficient similarity metrics, the descriptions allow navigation of multimillion track music collections in a flexible and efficient way without the need for metadata nor human ratings.

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ACM Association for Computer Machinery

Documentos relacionados

Proceedings of the 13th annual ACM international conference on Multimedia; 2005 Nov 6-11; Hilton, Singapore. New York: ACM; 2005. p. 211-2.

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© 2005 Association for Computing Machinery

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