Harmonizing Melody with Meta-Structure of Piano Accompaniment Figure
| Autor: | Kui Chen, Xiang-Bin Liu, Yin Feng |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Melody
Meta learning (computer science) Computer science Speech recognition Piano Harmonization Context (language use) Computer Science Applications Theoretical Computer Science Set (abstract data type) Computational Theory and Mathematics Hardware and Architecture Computer music Algorithmic composition Software |
| Zdroj: | Journal of Computer Science and Technology. 26:1041-1060 |
| ISSN: | 1860-4749 1000-9000 |
| DOI: | 10.1007/s11390-011-1200-1 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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