Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure |
| |
| Authors: | Yin Feng Kui Chen Xiang-Bin Liu |
| |
| 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 |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 CNKI SpringerLink 等数据库收录！ |
|
