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Ambient music experience in real and virtual worlds using audio similarity
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International Multimedia Conference archive
Proceeding of the 1st ACM international workshop on Semantic ambient media experiences table of contents
Vancouver, British Columbia, Canada
SESSION: Ambient media environments table of contents
Pages 9-16  
Year of Publication: 2008
ISBN:978-1-60558-314-3
Authors
Jakob Frank  Vienna University of Technology, Vienna, Austria
Thomas Lidy  Vienna University of Technology, Vienna, Austria
Ewald Peiszer  Vienna University of Technology, Vienna, Austria
Ronald Genswaider  Vienna University of Technology, Vienna, Austria
Andreas Rauber  Vienna University of Technology, Vienna, Austria
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

Sound and, specifically, music is a medium that is used for a wide range of purposes in different situations in very different ways. Ways for music selection and consumption may range from completely passive, almost unnoticed perception of background sound environments to the very specific selection of a particular recording of a piece of music with a specific orchestra and conductor on a certain event. Different systems and interfaces exist for the broad range of needs in music consumption. Locating a particular recording is well supported by traditional search interfaces via metadata. Other interfaces support the creation of playlists via artist or album selection, up to more artistic installation of sound environments that users can navigate through. In this paper we will present a set of systems that support the creation of as well as the navigation in musical spaces, both in the real world as well as in virtual environments. We show some common principles and point out further directions for a more direct coupling of the various spaces and interaction methods.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
D. Baum and A. Rauber. Emotional descriptors for map-based access to music libraries. In Proceedings of the 9th International Conference on Asian Digital Libraries Kyoto, Japan, November 27-30 2006.
 
2
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T. Lidy and A. Rauber. Machine Learning Techniques for Multimedia chapter Classification and Clustering of Music for Novel Music Access Applications, pages 249--285. Cognitive Technologies. Springer, Berlin Heidelberg, February 2008.
 
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Collaborative Colleagues:
Jakob Frank: colleagues
Thomas Lidy: colleagues
Ewald Peiszer: colleagues
Ronald Genswaider: colleagues
Andreas Rauber: colleagues