ACM Computing Surveys (CSUR)
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Human-computer interaction: input devices
ACM Computing Surveys (CSUR)
Strategic directions in human-computer interaction
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
WorldBeat: designing a baton-based interface for an interactive music exhibit
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
A public library based on full-text retrieval
Communications of the ACM
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
NPen/sup ++/: a writer independent, large vocabulary on-line cursive handwriting recognition system
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Robust Polyphonic Music Retrieval with N-grams
Journal of Intelligent Information Systems
Designing human-computer interfaces for quadriplegic people
ACM Transactions on Computer-Human Interaction (TOCHI)
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
Journal of Systems and Software
Content-based scene segmentation scheme for efficient multimedia information retrieval
International Journal of Wireless and Mobile Computing
FMF: Query adaptive melody retrieval system
Journal of Systems and Software
Dynamic neural networks applied to melody retrieval
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
A new query-by-humming system based on the score level fusion of two classifiers
International Journal of Communication Systems
A new methodology for music retrieval based on dynamic neural networks
International Journal of Hybrid Intelligent Systems
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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.