Ya-Xi Chen
ABSTRACT
In music information retrieval (MIR), there are two main research directions, which are based either on a folder hierarchy and metadata, or on the actual acoustic content. We believe that both content-based and hierarchy-based retrieval have their respective strengths for browsing and organizing music collections, and that the integration of content analysis techniques in metadata-based media UIs can lead to more powerful UIs. In this paper we present a prototype, in which audio analysis techniques and user feedback are integrated into an interactive UI for browsing and organizing large music collections. We also provide visual assistance to support non-visual perception of music. We discussed our system with test users and received encouragement as well as valuable suggestions for future re-search.
- Kim, J.Y. and Belkin, N. Categories of Music Description and Search Terms and Phrases Used by Non-Music Experts. Proc. of the 3rd International Conference on Music Information Retrieval (Paris, France, 2002). ISMIR '02.Google Scholar
- Vignoli F. Digital Music Interaction concepts: a user study. Proc. of the 5 th International Conference on Music Information Retrieval (Barcelona, Spain, 2004). ISMIR '04.Google Scholar
- Frank B., Crysta M., and Gunnar H. Personal vs. commercial content: the similarities between consumer use of photos and music. Proc. of the SIGCHI conference on Human Factors in computing systems (Montréal, Québec, Canada, 2006). CHI '06. Google ScholarDigital Library
- Brown, B., Geelhoed, E. and Sellen, A. The Use of Conventional and New Music Media: Implications for Future Technologies. 8th IFIP TC.13 conference on Human-Computer Interaction (Tokyo, Japan, 2001). INTERACT '01.Google Scholar
- Cunningham, S, Reeves, N., and Britland, M. An Ethnographic Study of Music Information Seeking: Implications for the Design of a Music Digital Library. Proc. of ACM/IEEE--CS joint conference on Digital libraries (Houston, TX, USA, 2003). JCDL '03. Google ScholarDigital Library
- Downie, J. S., and Cunningham, S.J. Toward a Theory of Music Information Retrieval Queries: System Design Implications. Proc. of the 3rd International Conference on Music Information Retrieval (Paris, France, 2002). ISMIR '02.Google Scholar
- Pampalk, E. Islands of Music: Analysis, Organization, and Visualization of Music Archives. Journal of the Austrian Soc. for Artificial Intelligence, 2003.Google Scholar
- Knees, P., Schedl, M., Pohle, T., et al. An Innovative Three-Dimensional User Interface for Exploring Music Collections Enriched with Meta-Information from the Web. Proc. of the 14th annual ACM international conference on Multimedia (Santa Barbara, CA, USA, 2006).MULTIMEDIA '06. Google ScholarDigital Library
- Gulik, R van, Vignoli, F. Visual Playlist Generation on the Artist Map. Proc. of the 6th International Conference on Music Information Retrieval (London, UK, 2002). ISMIR '05.Google Scholar
- Torrens, M., Hertzog, P., Arcos JL. Visualizing and exploring personal music libraries. Proc. of the 5th International Conference on Music Information Retrieval (Barcelona, Spain, 2004). ISMIR '04.Google Scholar
- Goto, M., Goto, T. Musicream: New Music Playback Interface for Streaming, Sticking, Sorting, and Recalling Musical Pieces. Proc. of the 6th International Conference on Music Information Retrieval (London, UK, 2002). ISMIR '05.Google Scholar
- Hilliges, O., Holzer, P., Kluber, R., Butz, A. AudioRadar: A metaphorical visualization for the navigation of large music collections. Proc. of the International Symposium on Smart Graphics (Vancouver, Canada, 2006).Google ScholarCross Ref
- Prefuse, interactive information sisualization toolkit: http://www.prefuse.org/.Google Scholar
- jAudio: Towards a standardized extensible audio music feature extraction. System,Course Paper. http://www.music.mcgill.ca/~cmckay/papers/musictech/jAudio.pdf, McGill University, Canada.Google Scholar
- Kanungo, T., Mount, D.M., Netanyahu, N.S., et al. Analysis of a simple k-means clustering algorithm. 16th Annual Symposium on Computational Geometry (Hong Kong, China, 2000). SoCG '00. 100--109. Google ScholarDigital Library
- Pampalk, E., Rauber, A., Merkl, D. Content-based Organization and Visualization of Music Archives. Proc. of the tenth ACM international conference on Multimedia .MULTIMEDIA '02. Google ScholarDigital Library
- Cunningham SJ, Bainbridge D., Falconer A. 'More of an Art than a Science': Supporting the Creation of Playlists and Mixes. Proc. of the 7th International Conference on Music Information Retrieval (Victoria, Canada, 2006). ISMIR '06.Google Scholar
- Pauws S. PATS: Realization and user evaluation of an automatic playlist generator. Proc. of the 3rd International Conference on Music Information Retrieval (Paris, France, 2002). ISMIR '02.Google Scholar
- Phole T., Pampalk, E., Widmer G. Generating Similarity-based Playlists Using Traveling Salesman Algorithms. Proc. of the 7th International Conference on Digital Audio Effects ( Madrid, Spain, 2005). DAFx '05.Google Scholar
Index Terms
- Musicsim: integrating audio analysis and user feedback in an interactive music browsing ui
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Reviews
Egon L. van den Broek
Music is omnipresent in modern societies. Consequently, attention to its selection, retrieval, and the maintenance of its collections is increasing. Using MusicSim, the authors introduce a utility to support these tasks. The authors start their paper with a concise, up-to-date overview on the topic. Two main issues are addressed in this paper. First is the clustering of music through combining metadata and content-based (for example, audio) features; however, how this is implemented in MusicSim is not made clear. Second, the authors stress the need "to take the human into the loop." As explained in the paper, this is done through an interactive card-sorting task, which provides relevant feedback to the system. Although MusicSim's rationale is good, the paper omits technical specifications and its implementation seems to lack advancement. Moreover, a thorough evaluation of the system is not described because it would be "beyond the focus of this paper." So, at best, a true evaluation seems to be saved for another paper. Possibly, this paper could have illustrated MusicSim's potential benefits, but, unfortunately, it also fails in this regard. Online Computing Reviews Service
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