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Rnn-Based Generation Of Polyphonic Music And Jazz Improvisation, Andrew Hannum
Rnn-Based Generation Of Polyphonic Music And Jazz Improvisation, Andrew Hannum
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This paper presents techniques developed for algorithmic composition of both polyphonic music, and of simulated jazz improvisation, using multiple novel data sources and the character-based recurrent neural network architecture char-rnn. In addition, techniques and tooling are presented aimed at using the results of the algorithmic composition to create exercises for musical pedagogy.