Automatic Composition of Music with Methods of Computational Intelligence
نویسنده
چکیده
We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use Markov-chains and other methods to build some initial individuals. These are then optimised with evolutionary algorithms using automatically learned classifiers next to interactive evaluation as fitness functions. Key–Words: computational Intelligence, automatic composition, music, decision tree, neural network, evolutionary algorithm, Markov-chains, Markov-models
منابع مشابه
Evolutionary Composition of Music with Learned Melody Evaluation
We describe our approach for the automatic composition of monophone melodies on a user given chord sequence. For this purpose we use evolutionary algorithms for the music generation with automatically learned classifiers next to interactive evaluation as fitness functions. Key–Words: computational intelligence, music, composition, classification, data mining
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تاریخ انتشار 2007