%0 Conference Proceedings %1 Les03Use %A Lesaffre, Micheline %A Leman, Marc %A Tanghe, Koen %A Baet, Bernard De %A Meyer, Hans De %A Martens, Jean-Pierre %C Stockholm, Sweden %D 2003 %E Conference, Stockholm Music Acoustics %K music semantic taxonomy %T User-Dependent Taxonomy of Musical Features As a Conceptual Framework for Musical Audio-Mining Technology %U http://citeseer.ist.psu.edu/cache/papers/cs/30732/http:zSzzSzwww.ipem.ugent.bezSzmamizSzpubliczSzPaperszSzLesaffreEtAlSMAC03.pdf/lesaffre03userdependent.pdf %X Musical audio-mining technology allows users to search and retrieve music by means of content-based text and audio queries. Though these systems are promising, there is a need for a better understanding of the role of user preferences and user profiles. The development of taxonomies for different aspects of a musical audio-mining system aims at bridging the gap between system development and user interactive interfacing. In the first part of this paper, the need for user-dependent taxonomy development is addressed and an experiment in spontaneous user behavior is described, based on 72 users and 1148 vocal queries. Statistical analysis provides insight into the characteristics of vocal querying and possible useful concepts. In the second part of the paper, it is described how categories and concepts from the statistical analysis have been used for the refinement of taxonomies that address user interactive interfacing and feature extraction.

@proceedings{Les03Use, abstract = {Musical audio-mining technology allows users to search and retrieve music by means of content-based text and audio queries. Though these systems are promising, there is a need for a better understanding of the role of user preferences and user profiles. The development of taxonomies for different aspects of a musical audio-mining system aims at bridging the gap between system development and user interactive interfacing. In the first part of this paper, the need for user-dependent taxonomy development is addressed and an experiment in spontaneous user behavior is described, based on 72 users and 1148 vocal queries. Statistical analysis provides insight into the characteristics of vocal querying and possible useful concepts. In the second part of the paper, it is described how categories and concepts from the statistical analysis have been used for the refinement of taxonomies that address user interactive interfacing and feature extraction.}, added-at = {2008-03-20T14:48:24.000+0100}, address = {Stockholm, Sweden}, author = {Lesaffre, Micheline and Leman, Marc and Tanghe, Koen and Baet, Bernard De and Meyer, Hans De and Martens, Jean-Pierre}, biburl = {https://www.bibsonomy.org/bibtex/2f37a976ccc1beaf3ff06172e1b4e5aaa/mediadigits}, editor = {Conference, Stockholm Music Acoustics}, file = {:10.1.1.58.801.pdf:PDF}, groups = {public}, interhash = {5a9df9cf3db49413b81b3bb6576dc590}, intrahash = {f37a976ccc1beaf3ff06172e1b4e5aaa}, keywords = {music semantic taxonomy}, month = {August}, organization = {Stockholm Music Acoustics Conference}, timestamp = {2011-03-13T18:56:36.000+0100}, title = {User-Dependent Taxonomy of Musical Features As a Conceptual Framework for Musical Audio-Mining Technology}, url = {http://citeseer.ist.psu.edu/cache/papers/cs/30732/http:zSzzSzwww.ipem.ugent.bezSzmamizSzpubliczSzPaperszSzLesaffreEtAlSMAC03.pdf/lesaffre03userdependent.pdf}, username = {mediadigits}, year = 2003 }