Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure |
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| Authors: | Yin Feng Kui Chen Xiang-Bin Liu |
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| Affiliation: | (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 |
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| 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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