|
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.
| |
1
|
BARLOW,H.AND MORGENSTERN, S. 1948. A Directory of Musical Themes. Crown Publishers, New York, NY.
|
| |
2
|
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/.
|
 |
3
|
|
| |
4
|
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.
|
| |
5
|
DELLAERT, F., POLZIN,T.,AND WAIBEL, A. 1996. Recognizing emotion in speech. In Proc. Intl. Conf. on Spoken Language Processing (Philadelphia, Oct. 1996), 1970-1973.
|
 |
6
|
Asif Ghias , Jonathan Logan , David Chamberlin , Brian C. Smith, Query by humming: musical information retrieval in an audio database, Proceedings of the third ACM international conference on Multimedia, p.231-236, November 05-09, 1995, San Francisco, California, United States
[doi> 10.1145/217279.215273]
|
 |
7
|
|
| |
8
|
|
| |
9
|
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.
|
 |
10
|
Brad Myers , Jim Hollan , Isabel Cruz , Steve Bryson , Dick Bulterman , Tiziana Catarci , Wayne Citrin , Ephraim Glinert , Jonathan Grudin , Yannis Ioannidis, Strategic directions in human-computer interaction, ACM Computing Surveys (CSUR), v.28 n.4, p.794-809, Dec. 1996
[doi> 10.1145/242223.246855]
|
| |
11
|
PARSONS, D. 1975. The Directory of Tunes and Musical Themes. Spencer Brown.
|
 |
12
|
|
| |
13
|
STIEFELHAGEN, R., YANG,J.,AND WAIBEL, A. 1997. A model-based gaze tracking system. Intl. Journal of Artificial Intelligence Tools 6, 2, 193-209.
|
| |
14
|
|
| |
15
|
UKKONEN, E. 1985. Finding approximate patterns in strings. Journal of Algorithms 6, 132-137.
|
 |
16
|
|
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...
|