Automatic melody generation using Neural Networks and Cellular Automata



This paper discusses solutions for generating melodies in the context of a system
that intends to produce music with a specified emotional content. The research sets up from
an existing system, which produces music by manipulating and combining MIDI music. We
aim to analize the benefit from using automatic music composition techniques in order to
improve musical quality, while conforming with the desired emotional content. We
considered Neural Networks and Cellular Automata for the task.


Algorithmic composition


11th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), September 2012

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Year 2014 : 1 citations

 Goel, Kratarth, Raunaq Vohra, and J. K. Sahoo. "Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN." Artificial Neural Networks and Machine Learning–ICANN 2014. Springer International Publishing, 2014. 217-224.