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


Vol. 41,  No. 11, pp. 1456-1462, Nov.  2016


PDF
  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.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

W. I. Cho, J. H. Kim, S. J. Cheon, N. S. Kim, "Rule-Based Generation of Four-Part Chorus Applied With Chord Progression Learning Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1456-1462, 2016. DOI: .

[ACM Style]

Won Ik Cho, Jeung Hun Kim, Sung Jun Cheon, and Nam Soo Kim. 2016. Rule-Based Generation of Four-Part Chorus Applied With Chord Progression Learning Model. The Journal of Korean Institute of Communications and Information Sciences, 41, 11, (2016), 1456-1462. DOI: .

[KICS Style]

Won Ik Cho, Jeung Hun Kim, Sung Jun Cheon, Nam Soo Kim, "Rule-Based Generation of Four-Part Chorus Applied With Chord Progression Learning Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1456-1462, 11. 2016.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880