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An interface for melody input
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Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 8 ,  Issue 2  (June 2001) table of contents
Pages: 133 - 149  
Year of Publication: 2001
ISSN:1073-0516
Authors
Lutz Prechelt  Univ. Karlsruhe, Karlsruhe, Germany
Rainer Typke  Univ. Karlsruhe, Karlsruhe, Germany
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 75,   Citation Count: 3
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ABSTRACT

We present a software system, called Tunserver, which recognizes a musical tune whistled by the user, finds it in a database, and returns its name, composer, and other information. Such a service is useful for track retrieval at radio stations, music stores, etc., and is also a step toward the long-term goal of communicating with a computer much like one would with a human being. Tuneserver is implemented as a public Java-based WWW service with a database of approximately 10,000 motifs. Tune recognition is based on a highly error-resistant encoding, proposed by Parsons, that uses only the direction of the melody, ignoring the size of intervals as well as rhythm. We present the design and implementation of the tune recognition core, outline the design of the Web service, and describe the results obtained in an empirical evaluation of the new interface, including the derivation of suitable system parameters, resulting performance figures, and an error analysis.


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.

 
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BARLOW,H.AND MORGENSTERN, S. 1948. A Directory of Musical Themes. Crown Publishers, New York, NY.
 
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BENOIT, C., PELACHAUD,C.,AND SUHM, B. 1999. Multimodal speech systems. In D. Gibbons, R. Moore, and R. Winski Eds., Handbook of Standards and Resources in Spoken Language Systems, Volume supplement. Berlin: Mouton de Gruyter. http://werner.ira.uka.de/ }} bsuhm/.
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COLE, R. A., MARIANI, J., USZKOREIT, H., ZAENEN, A., AND ZUE, V. 1995. Survey of the State of the Art in Human Language Technology. Center for Spoken Language Understanding CSLU, Carnegie Mellon University, Pittsburgh, PA.
 
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MCNAB,R.J.,SMITH, L. A., BAINBRIDGE,D.,AND WITTEN, I. H. 1997. The New Zealand digital library MELody inDEX. D-Lib magazine 3, 5 (May). www.dlib.org.
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PARSONS, D. 1975. The Directory of Tunes and Musical Themes. Spencer Brown.
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STIEFELHAGEN, R., YANG,J.,AND WAIBEL, A. 1997. A model-based gaze tracking system. Intl. Journal of Artificial Intelligence Tools 6, 2, 193-209.
 
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UKKONEN, E. 1985. Finding approximate patterns in strings. Journal of Algorithms 6, 132-137.
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REVIEW

"William Campbell McGee : Reviewer"

The work described here is an attempt to broaden the human-computer interface to include computer recognition of melodies sounded by people. The authors describe their system, Tuneserver, which accepts whistled melodies and returns lists of   more...

Collaborative Colleagues:
Lutz Prechelt: colleagues
Rainer Typke: colleagues