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Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure 被引量：1

Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure
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摘要 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. 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.
作者 冯寅 陈魁 刘向滨
机构地区 Department of Cognitive Science Fujian Key Laboratory of the Brain-Like Intelligent Systems Shenzhen ZTE Mobile Telecom Ltd
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2011年第6期1041-1060,共20页 计算机科学技术学报（英文版）
基金 Supported by the National Natural Science Foundation of China under Grant No.60975076
关键词 algorithmic composition automatic harmonization META-LEARNING computer music algorithmic composition, automatic harmonization, meta-learning, computer music
分类号 J624.1 [艺术—音乐]
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参考文献14

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同被引文献13

  • 1Huang C F,Nien W P,Yeh Y S.Learning effectiveness of applying automated music composition software in the high grades of elementary school[J].Computers&Education,2015,83:74-89.
  • 2Sagayama S,Nakamura T,Nakamura E,et al.Automatic music accompaniment allowing errors and arbitrary repeats and jumps[C].Proceedings of Meetings on Acoustics,Providence,2015.
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  • 6Navarro M,Caetano M,Bernardes G,et al.Automatic generation of chord progressions with an artificial immune system[C]//International Conference on Evolutionary and Biologically Inspired Music and Art.Berlin:Springer International Publishing,2015:175-186.
  • 7Bakker D R,Martin F H.Musical chords and emotion:Major and minor triads are processed for emotion[J].Cognitive Affective&Behavioral Neuroscience,2015,15(1):15-31.
  • 8Chen P C,Lin K S,Chen H H.Emotional Accompaniment Generation System Based on Harmonic Progression[J].IEEE Transactions on Multimedia,2013,15(7):1469-1479.
  • 9Chen P C,Lin K S,Chen H H.Automatic accompaniment generation to evoke specific emotion[C].20131EEE International Conference on Multimedia and Expo(ICME),San Jase,2013.
  • 10Lo M Y.Evolving cellular automata for music composition with trainable fitness functions[D].Kaochesite:University of Essex,2012.

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Journal of Computer Science & Technology
2011年 第6期

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