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Proceedings Paper

MIYAESI: leveraging Java sound programming interface for automatic music transcription
Author(s): Hasitha Abeykoon; Thilanka Kaushalya; Najla Akram; Asanka Dissanayaka; Shahani Weerawarana; Chathura De Silva
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Paper 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.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491T (13 January 2012); doi: 10.1117/12.920987
Show Author Affiliations
Hasitha Abeykoon, Univ. of Moratuwa (Sri Lanka)
Thilanka Kaushalya, Univ. of Moratuwa (Sri Lanka)
Najla Akram, Univ. of Moratuwa (Sri Lanka)
Asanka Dissanayaka, Univ. of Moratuwa (Sri Lanka)
Shahani Weerawarana, Univ. of Moratuwa (Sri Lanka)
Chathura De Silva, Univ. of Moratuwa (Sri Lanka)

Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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