A Hierarchical Approach to Simulation of the Melodic Harmonization Process
In this paper, a hybrid system (method) capable of generating accompaniment to human-created melodies was proposed with the use of machine learning and theoretical knowledge, as well as the idea of songs global framework to simulate the real composition process. This paper introduced a new method in which the harmonization process were divided into several hierarchies, chords in every hierarchy were expanded from their father hierarchy and were the highest several ranked ones among candidates in the same hierarchy. The improved bidirectional search algorithm was used to simulate this extending process, while music rules were employed to further choose the most appropriate chord sequence. For performance evaluation, a new distance definition was developed to quantify the distance between generated chords and the original chords. The quantitative performance comparisons between the hybrid approach and the traditional HMM approach were also carried out at the end of this paper to show difference between compositional and perceptual process of human beings psychologically.
automatic musical accompaniment harmonic analysis bidirectional search chord distance probabilistic graphical model
Hu Jiarui Guan Yin Zhou Changle
Cognitive Science Department,Intelligent Systems,Xiamen University,Xiamen, China, 361005 Fujian Key Lab of the Brain-like Intelligent Systems,Xiamen University,Xiamen, China, 361005
国际会议
厦门
英文
780-784
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）