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http://dx.doi.org/10.7840/kics.2016.41.11.1456

Rule-Based Generation of Four-Part Chorus Applied With Chord Progression Learning Model  

Cho, Won Ik (Seoul National University Department of Electrical and Computer Engineering and Institute of New Media and Communications)
Kim, Jeung Hun (Seoul National University Department of Electrical and Computer Engineering and Institute of New Media and Communications)
Cheon, Sung Jun (Seoul National University Department of Electrical and Computer Engineering and Institute of New Media and Communications)
Kim, Nam Soo (Seoul National University Department of Electrical and Computer Engineering and Institute of New Media and Communications)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.11, 2016 , pp. 1456-1462 More about this Journal
Abstract
In this paper, we apply a chord progression learning model to a rule-based generation of a four-part chorus. The proposed system is given a 32-note melody line and completes the four-part chorus based on the rule of harmonics, predicting the chord progression with the CRBM model. The data for the training model was collected from various harmony textbooks, and chord progressions were extracted with key-independent features so as to utilize the given data effectively. It was shown that the output piece obtained with the proposed learning model had a more natural progression than the piece that used only the rule-based approach.
Keywords
automatic composition; four-part chorus; rule-based approach; machine learning; conditional restricted Boltzmann machine;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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