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Volume 26 Issue 6
November  2011
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Yin Feng, Kui Chen, Xiang-Bin Liu. Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure[J]. Journal of Computer Science and Technology, 2011, 26(6): 1041-1060. DOI: 10.1007/s11390-011-1200-1
Citation: Yin Feng, Kui Chen, Xiang-Bin Liu. Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure[J]. Journal of Computer Science and Technology, 2011, 26(6): 1041-1060. DOI: 10.1007/s11390-011-1200-1
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Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure

  • 1. Department of Cognitive Science, Xiamen University, Xiamen 361005, China;
    2. Shenzhen ZTE Mobile Telecom Ltd, Shenzhen 518057, China;
    3. Fujian Key Laboratory of the Brain-Like Intelligent Systems, Xiamen University, Xiamen 361005, China

Funds: Supported by the National Natural Science Foundation of China under Grant No. 60975076.
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  • Author Bio:

    Yin Feng received his B.S., M.S., and Ph.D. degrees from the Depart-ment of Computer Science, Harbin Institute of Technology, China in 1982, 1985 and 1988, respectively. Currently he is an associate pro-fessor in Cognitive Science Depart-ment, Xiamen University. His re-search interests include automatic harmonization, automatic transcrip-tion and content-based music information retrieval.

    Kui Chen received his B.S. de-gree from the Department of Mathe-matics and M.S. degree from the De-partment of Computer Science, Xia-men University, China in 2006 and 2009 respectively. Currently he is a software engineer in Shenzhen ZTE Mobile Telecom Ltd. His research in-terests include automatic harmoniza-tion and algorithmic composition.

    Xiang-Bin Liu received his B.S. degree from Naval Aeronautical En-gineering College, China in 2008. Currently he is pursuing his M.S. degree in Cognitive Science Depart-ment, Xiamen University. His re-search interests include automatic harmonization and algorithmic com-position.

  • Received Date: April 21, 2009
  • Revised Date: July 07, 2011
  • Published Date: November 04, 2011
    Abstract
  • In this paper, a meta-structure of piano accompaniment figure (meta-structure for short) is proposed to harmonize a melodic piece of music so as to construct a multi-voice music. Here we approach melody harmonization with piano accompaniment as a machine learning task in a probabilistic framework. A series of piano accompaniment figures are collected from the massive existing sample scores and converted into a set of meta-structure. After the procedure of samples training, a model is formulated to generate a proper piano accompaniment figure for a harmonizing unit in the context. This model is flexible in harmonizing a melody with piano accompaniment. The experimental results are evaluated and discussed.
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    • References (14)
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