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MuMa: a scalable music search engine based on content analysis

Published: 28 November 2011 Publication History

Abstract

Existing music search engines process music as they would process text, ignoring the richness of this media. We introduce here MuMa1 (MUsic MAshup), a web application which makes the most of audio contents (the signal itself) to provide the user with new ways of browsing music. MuMa allows the user to search for particular chords sequences, to generate smart playlists and to extend its musical universe.

References

[1]
Arthur Lenoir, Rémi Landais, Geoffroy Peeters, Laurent Oudre, Thomas Fillon. MUMA: A Music Search Engine Based on Content Analysis. ICME 2011.
[2]
Geoffroy Peeters. A Generic System for Audio Indexing: Application to Speech / Music Segmentation and Music Genre Recognition. Proc. of the 10th Int. Conference on Digital Audio Effects (DAFx-07).
[3]
Laurent Oudre, Yves Grenier, and Cédric Févotte. Chord recognition using measures of fit, chord templates and filtering methods. IEEE WASPAA, New York, 2009, pp.9--12

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  • (2013)Semantic dispatching of multimedia news with MEWSProceedings of the 21st ACM international conference on Multimedia10.1145/2502081.2502253(427-428)Online publication date: 21-Oct-2013

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    cover image ACM Conferences
    MM '11: Proceedings of the 19th ACM international conference on Multimedia
    November 2011
    944 pages
    ISBN:9781450306164
    DOI:10.1145/2072298

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 November 2011

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    MM '11: ACM Multimedia Conference
    November 28 - December 1, 2011
    Arizona, Scottsdale, USA

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    • (2013)Semantic dispatching of multimedia news with MEWSProceedings of the 21st ACM international conference on Multimedia10.1145/2502081.2502253(427-428)Online publication date: 21-Oct-2013

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