Development of an Automatic Emotional Music Accompaniment System by Fuzzy Logic and Adaptive Partition Evolutionary Genetic Algorithm

Music is everywhere in the world, and its applications in commerce are extremely versatile. Generally speaking, in order to create some music for background music, it is necessary to engage sound recordists and instrumental performers. However, the process is very time-consuming and costly. In this...

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Bibliographic Details
Published in:IEEE access 2015, Vol.3, p.815-824
Main Authors: Kuo, Ping-Huan, Li, Tzuu-Hseng S., Ho, Ya-Fang, Lin, Chih-Jui
Format: Article
Language:English
Subjects:
Accompaniment
Adaptive algorithms
Adaptive systems
Computer applications
Computer generated music
Control systems design
emotion
Emotion recognition
Emotions
Evolutionary algorithms
fuzzy
Fuzzy control
Fuzzy logic
genetic algorithm
Genetic algorithms
melody
Music
Partitions
Progressions
Real time
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Summary:Music is everywhere in the world, and its applications in commerce are extremely versatile. Generally speaking, in order to create some music for background music, it is necessary to engage sound recordists and instrumental performers. However, the process is very time-consuming and costly. In this paper, a real-time emotion-based music accompaniment system is proposed to solve this issue. For different emotions, a fuzzy logic controller is designed to adjust the tempo of the music, and an adaptive partition evolutionary genetic algorithm is developed to create corresponding melodies. The chord progressions are generated via music theory, and the instrumentation is disposed by the conception of the probability. What is noteworthy is that all the processes can be output by Virtual Studio Technology in real time so that users can listen directly to the composing results from any emotions. From the experimental results, the proposed adaptive partition evolutionary genetic algorithm performs better than other optimal algorithms in such topics.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2015.2443985