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 harmonizatio...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.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.60975076
文摘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.
