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Neural Processing Letters
Published in: Neural Processing Letters 3/2020

09-06-2020

A Style-Specific Music Composition Neural Network

Authors: Cong Jin, Yun Tie, Yong Bai, Xin Lv, Shouxun Liu

Published in: Neural Processing Letters | Issue 3/2020

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Abstract

Automatic music composition could dramatically decrease music production costs, lower the threshold for the non-professionals to compose as well as improve the efficiency of music creation. In this paper, we proposed an intelligent music composition neutral network to automatically generate a specific style of music. The advantage of our model is the innovative structure: we obtained the music sequence through an actor’s long short term memory, then fixed the probability of sequence by a reward-based procedure which serves as feedback to improve the performance of music composition. The music theoretical rule is introduced to constrain the style of generated music. We also utilized a subjective validation in experiment to guarantee the superiority of our model compared with state-of-the-art works.
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Metadata
Title
A Style-Specific Music Composition Neural Network
Authors
Cong Jin
Yun Tie
Yong Bai
Xin Lv
Shouxun Liu
Publication date
09-06-2020
Publisher
Springer US
Published in
Neural Processing Letters / Issue 3/2020
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10241-8

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