dc.contributor.author |
Soysa, Amani Indunil |
|
dc.contributor.author |
Lokuge, Kulari |
|
dc.date.accessioned |
2019-02-05T05:58:45Z |
|
dc.date.available |
2019-02-05T05:58:45Z |
|
dc.date.issued |
2010 |
|
dc.identifier.citation |
Soysa, A. I and Lokuge, K (2010) ChordATune - An emotion based melody harmonizer for piano music. ‘2010 International Conference on Technology for Education.’ Mumbai, India. 1st -3rd July 2010. IEEE, pp. 226 -227. DOI: 10.1109/T4E.2010.5550101 |
en_US |
dc.identifier.uri |
https://ieeexplore.ieee.org/document/5550101 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/61 |
|
dc.description.abstract |
Harmonization is a crucial task in piano music creation. However, it is a tedious task for novice piano players. This is because piano players need to keep track of the extensive set of western music rules and concepts, and also need years of training and practice to harmonize a melody accurately. This research addresses the problems of harmonization and proposes an interactive learning tool, “ChordATune” that facilitates piano players, song writers and music students to experiment with harmonization concepts to create harmonies effectively incorporating emotions, genre, beat and tempo. |
en_US |
dc.subject |
Automatic Music Composition |
en_US |
dc.subject |
Hidden Markov Model, |
en_US |
dc.title |
ChordATune - An emotion based melody harmonizer for piano music |
en_US |
dc.type |
Article |
en_US |