Abstract
This paper presents the idea of recognition of music symbols to help the blind people reading music scores and operating music notation. The discussion is focused on two main topics. The first topic is the concept of the computer program, which recognizes music notation and processes music information while the second is a brief presentation of music processing methods including recognition of music notation – Optical Music Recognition technology – based on artificial neural networks. The short description and comparison of effectiveness of artificial neural networks is also given.
This work is supported under State Committee for Scientific Research Grant no 3T11C00926, years 2004-2007.
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Macukow, B., Homenda, W. (2006). Methods of Artificial Intelligence in Blind People Education. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_123
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DOI: https://doi.org/10.1007/11785231_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35748-3
Online ISBN: 978-3-540-35750-6
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