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Using fuzzy logic to handle the users' semantic descriptions in a music retrieval system

Micheline Lesaffre (UGent) and Marc Leman (UGent)
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Abstract
This paper provides an investigation of the potential application of fuzzy logic to semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music. A semantic music recommendation system was built, based on an elaborate study of potential users of music information retrieval systems. In this study analysis was made of the descriptors that best characterize the user's understanding of music. Significant relationships between expressive and structural descriptions of music were found. A straightforward fuzzy logic methodology was then applied to handle the quality ratings associated with the descriptions. Rigorous real-world testing of the semantic music recommendation system revealed high user satisfaction.
Keywords
music information retrieval, user profile, music recommendation, semantic description, fuzzy systems, query by emotion

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Citation

Please use this url to cite or link to this publication:

Chicago
Lesaffre, Micheline, and Marc Leman. 2007. “Using Fuzzy Logic to Handle the Users’ Semantic Descriptions in a Music Retrieval System.” In Advances in Soft Computing, ed. O Castillo, P Melin, OM Ross, RS Cruz, W Pedrycz, and J Kacprzky, 42:89–98. Berlin, Germany: Springer.
APA
Lesaffre, Micheline, & Leman, M. (2007). Using fuzzy logic to handle the users’ semantic descriptions in a music retrieval system. In O. Castillo, P. Melin, O. Ross, R. Cruz, W. Pedrycz, & J. Kacprzky (Eds.), ADVANCES IN SOFT COMPUTING (Vol. 42, pp. 89–98). Presented at the IFSA 2007 World Congress, Berlin, Germany: Springer.
Vancouver
1.
Lesaffre M, Leman M. Using fuzzy logic to handle the users’ semantic descriptions in a music retrieval system. In: Castillo O, Melin P, Ross O, Cruz R, Pedrycz W, Kacprzky J, editors. ADVANCES IN SOFT COMPUTING. Berlin, Germany: Springer; 2007. p. 89–98.
MLA
Lesaffre, Micheline, and Marc Leman. “Using Fuzzy Logic to Handle the Users’ Semantic Descriptions in a Music Retrieval System.” Advances in Soft Computing. Ed. O Castillo et al. Vol. 42. Berlin, Germany: Springer, 2007. 89–98. Print.
@inproceedings{427159,
  abstract     = {This paper provides an investigation of the potential application of fuzzy logic to semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music. A semantic music recommendation system was built, based on an elaborate study of potential users of music information retrieval systems. In this study analysis was made of the descriptors that best characterize the user's understanding of music. Significant relationships between expressive and structural descriptions of music were found. A straightforward fuzzy logic methodology was then applied to handle the quality ratings associated with the descriptions. Rigorous real-world testing of the semantic music recommendation system revealed high user satisfaction.},
  author       = {Lesaffre, Micheline and Leman, Marc},
  booktitle    = {ADVANCES IN SOFT COMPUTING},
  editor       = {Castillo, O and Melin, P and Ross, OM and Cruz, RS and Pedrycz, W and Kacprzky, J},
  isbn         = {9783540724339},
  issn         = {1615-3871},
  keyword      = {music information retrieval,user profile,music recommendation,semantic description,fuzzy systems,query by emotion},
  language     = {eng},
  location     = {Canc{\'u}n, Mexico},
  pages        = {89--98},
  publisher    = {Springer},
  title        = {Using fuzzy logic to handle the users' semantic descriptions in a music retrieval system},
  volume       = {42},
  year         = {2007},
}

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