A speech interface for building musical score collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Online Pen-Based Recognition of Music Notation with Artificial Neural Networks
Computer Music Journal
Estimating HMM Parameters Using Particle Swarm Optimisation
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Music alphabet for low-resolution touch displays
Proceedings of the International Conference on Advances in Computer Enterntainment Technology
Interpreting strokes on paper with a mobile assistant
Proceedings of the 25th annual ACM symposium on User interface software and technology
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Computerising the task of music editing can avoid a considerable amount of tedious work for musicians, particularly for tasks such as key transposition, part extraction, and layout. However the task of getting the music onto the computer can still be time consuming and is usually done with the help of bulky equipment. This paper reports on the design of a pen-based input system that uses easily-learned gestures to facilitate fast input, particularly if the system must be portable. The design is based on observations of musicians writing music by hand, and an analysis of the symbols in samples of music. A preliminary evaluation of the system is presented, and the speed is compared with the alternatives of handwriting, synthesiser keyboard input, and optical music recognition. Evaluations suggest that the gesture-based system could be approximately three times as fast as other methods of music data entry reported in the literature.