Harmonizing melody with meta-structure of piano accompaniment figure

Authors:
Yin Feng;Kui Chen;Xiang-Bin Liu
Affiliations:
Department of Cognitive Science, Xiamen University, Xiamen, China and Fujian Key Laboratory of the Brain-Like Intelligent Systems, Xiamen University, Xiamen, China;Shenzhen ZTE Mobile Telecom Ltd, Shenzhen, China;Department of Cognitive Science, Xiamen University, Xiamen, China and Fujian Key Laboratory of the Brain-Like Intelligent Systems, Xiamen University, Xiamen, China
Venue:
Journal of Computer Science and Technology - Special issue on Natural Language Processing
Year:
2011

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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.