Title :
Automated composition system based on GA
Author :
Jiang, Minjun ; Zhou, Changle
Author_Institution :
Mind, Art & Comput. Lab., Xiamen Univ., Xiamen, China
Abstract :
Researches on computer application to musical creation are actively performed in artificial intelligence. In this paper, we propose a hybrid method that adopts BP neural network for evaluation of emotions in music and genetic algorithm as an appropriate method for nominating creativity. Compared to other GAs used in this field, emotional element is used and combined with some musical rules as fitness function. The experiment results show that our method can yield music which is pleasant to ordinary listeners.
Keywords :
artificial intelligence; backpropagation; emotion recognition; genetic algorithms; music; neural nets; BP neural network; artificial intelligence; automated composition system; emotional element; fitness function; genetic algorithm; hybrid method; musical creation; Artificial neural networks; Biological cells; Biological neural networks; Emotion recognition; Hidden Markov models; Multiple signal classification; Music; BP neural network; emotion in music; genetic algorithm;
Conference_Titel :
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6791-4
DOI :
10.1109/ISKE.2010.5680844
