Paper
13 January 2012 MIYAESI: leveraging Java sound programming interface for automatic music transcription
Hasitha Abeykoon, Thilanka Kaushalya, Najla Akram, Asanka Dissanayaka, Shahani Weerawarana, Chathura De Silva
Author Affiliations +
Abstract
Music notations can be considered as very important information for musicians as well as for music fans. To recreate music which was heard before one has to know the musical notes which were included in that music piece. From many years computer scientists and engineers have tried to come up with various techniques to automate the task of finding out musical notes from a music piece. With the advent of computer science many digital format arrived which facilitated storing and encoding music information. But with the dynamic nature of any sound information still the problem of analyzing those stays. Many statistical methods have been proposed in literature. But implementation specific detail is very hard to find. With this paper we try to address that issue. At research lab, University of Moratuwa, we came up with a system implemented in Java programming language which performs automatic music transcription on monophonic music with a good accuracy level called Miyaesi.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hasitha Abeykoon, Thilanka Kaushalya, Najla Akram, Asanka Dissanayaka, Shahani Weerawarana, and Chathura De Silva "MIYAESI: leveraging Java sound programming interface for automatic music transcription", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491T (13 January 2012); https://doi.org/10.1117/12.920987
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KEYWORDS
Java

Computer programming

Analytical research

Computer programming languages

Signal processing

Computer engineering

Computer science

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