Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure

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...

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Bibliographic Details
Published in:Journal of computer science and technology 2011-11, Vol.26 (6), p.1041-1060
Main Author: 冯寅 陈魁 刘向滨
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Artificial Intelligence
Cognitive tasks
Computer Science
Computer simulation
Data Structures and Information Theory
Genetic algorithms
Harmony (Music)
Information Systems Applications (incl.Internet)
Machine learning
Mathematical models
Melody
Meta-analysis
Music
Piano
Pianos
Polyphony
Probabilistic methods
Probability theory
Regular Paper
Science
Software Engineering
Studies
Tasks
Theory of Computation
Variables
上下文
元结构
学习任务
数字系列
样本训练
钢琴
音乐旋律
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Summary: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.
ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-011-1200-1