Multimodal presentation and browsing of music

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Multimodal presentation and browsing of music

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International Conference on Multimodal Interfaces archive
Proceedings of the 10th international conference on Multimodal interfaces table of contents

Chania, Crete, Greece

SESSION: Multimodal interfaces II (oral session) table of contents

Pages 205-208

Year of Publication: 2008

ISBN:978-1-60558-198-9

Authors

David Damm	University of Bonn, Bonn, Germany
Christian Fremerey	University of Bonn, Bonn, Germany
Frank Kurth	Research Establishment for Applied Science, Wachtberg, Germany
Meinard Müller	Max-Planck-Institut für Informatik, Saarbrücken, Germany
Michael Clausen	University of Bonn, Bonn, Germany

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

Recent digitization efforts have led to large music collections, which contain music documents of various modes comprising textual, visual and acoustic data. In this paper, we present a multimodal music player for presenting and browsing digitized music collections consisting of heterogeneous document types. In particular, we concentrate on music documents of two widely used types for representing a musical work, namely visual music representation (scanned images of sheet music) and associated interpretations (audio recordings). We introduce novel user interfaces for multimodal (audio-visual) music presentation as well as intuitive navigation and browsing. Our system offers high quality audio playback with time-synchronous display of the digitized sheet music associated to a musical work. Furthermore, our system enables a user to seamlessly crossfade between various interpretations belonging to the currently selected musical work.

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	V. Arifi, M. Clausen, F. Kurth, and M. Müller. Synchronization of music data in score-, MIDI- and PCM-format. Computing in Musicology, 13, 2004.
	2	M. A. Bartsch and G. H. Wakefield. Audio thumbnailing of popular music using chroma-based representations. IEEE Trans. on Multimedia, 7(1):96--104, 2005.
	3	D. Byrd and M. Schindele. Prospects for improving OMR with multiple recognizers. In Proc. ISMIR, pages 41--46, 2006.
	4	G. Choudhury, T. DiLauro, M. Droettboom, I. Fujinaga, B. Harrington, and K. MacMillan. Optical music recognition system within a large-scale digitization project.
	5	Roger B. Dannenberg , Christopher Raphael, Music score alignment and computer accompaniment, Communications of the ACM, v.49 n.8, August 2006 [doi>10.1145/1145287.1145311]
	6	N. Hu, R. Dannenberg, and G. Tzanetakis. Polyphonic audio matching and alignment for music retrieval. In Proc. IEEE WASPAA, 2003.
	7	Meinard Müller, Information Retrieval for Music and Motion, Springer-Verlag New York, Inc., Secaucus, NJ, 2007
	8	M. Müller, H. Mattes, and F. Kurth. An efficient multiscale approach to audio synchronization. In Proc. ISMIR, pages 192--197, 2006.