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A Style-Specific Music Composition Neural Network
Neural Processing Letters ( IF 2.6 ) Pub Date : 2020-06-09 , DOI: 10.1007/s11063-020-10241-8
Cong Jin , Yun Tie , Yong Bai , Xin Lv , Shouxun Liu

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.



中文翻译:

特定风格的音乐创作神经网络

自动音乐创作可以大大降低音乐制作成本,降低非专业人士创作的门槛,并提高音乐创作的效率。在本文中,我们提出了一种智能音乐创作中性网络,可以自动生成特定风格的音乐。我们的模型的优点是创新的结构:我们通过演员的长期短期记忆获得了音乐序列,然后通过基于奖励的过程固定了序列的可能性,该过程可作为反馈来改善音乐创作的性能。引入了音乐理论规则来约束所生成音乐的风格。我们还在实验中采用了主观验证,以确保我们的模型与最新技术相比具有优越性。

更新日期:2020-06-09
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