Title :
ChordATune - An emotion based melody harmonizer for piano music
Author :
Soysa, Amani Indunil ; Lokuge, Kulari
Author_Institution :
Inf. Inst. of Technol., Colombo, Sri Lanka
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.
Keywords :
computer aided instruction; music; ChordATune; beat; emotion based melody harmonizer; emotions; genre; interactive learning tool; music students; piano music creation; tempo; western music concepts; western music rules; Artificial intelligence; Concrete; Dynamic programming; Hidden Markov models; Informatics; Instruments; Learning; Software tools; Viterbi algorithm; Writing; Artificial Intelligence; Automatic Music Composition; Dynamic Programming; Hidden Markov Model;
Conference_Titel :
Technology for Education (T4E), 2010 International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4244-7362-5
Electronic_ISBN :
978-1-4244-7361-8
DOI :
10.1109/T4E.2010.5550101