AAAI Publications, Ninth Artificial Intelligence and Interactive Digital Entertainment Conference

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Expansion on Description-Based Design of Melodies
Avneesh Sarwate, Rebecca Fiebrink

Last modified: 2013-11-13

Abstract


This work-in-progress paper describes attempted improvements on Pachet’s Description-Based Design (DBD), a system that uses machine learning to generate melodies. We discuss in depth both Description-Based Design and our extensions to Pachet’s original approach. We also present a user study in which users had some success in transforming melodies and describe the implications of these results for future work.

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