Providing valuable semantic descriptors of multimedia content is a topic of high interest for music content processing. Such descriptors should merge the two predicates of (1) being useful for different operations such as retrieval, visual representation of collections, classification, etc., and (2) being automatically extractable from the source. In this paper the semantic descriptor concept music complexity is introduced, and the advantages of their usage for music retrieval and for automated music recommendation are addressed. The authors provide a critical review of existing related proposals and also prospect new methods for automated music complexity estimation.
Authors:
Streich, Sebastian; Herrera, Perfecto
Affiliation:
Universitat Pompeu Fabra, Barcelona, Spain
AES Conference:
25th International Conference: Metadata for Audio (June 2004)
Paper Number:
5-1
Publication Date:
June 1, 2004
Subject:
Metadata for Audio
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.