A neural network for bass functional harmonization

Authors:
Roberto De Prisco;Antonio Eletto;Antonio Torre;Rocco Zaccagnino
Affiliations:
Dipartimento di Informatica ed Applicazioni, University of Salerno, Italy;Dipartimento di Informatica ed Applicazioni, University of Salerno, Italy;Dipartimento di Informatica ed Applicazioni, University of Salerno, Italy;Dipartimento di Informatica ed Applicazioni, University of Salerno, Italy
Venue:
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
Year:
2010

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Abstract

This paper presents the design, implementation and testing of a neural network for the functional harmonization of a bass line. The overall network consists of three base networks that are used in parallel under the control of an additional network that, at each step, chooses the best output from the three base networks. All the neural networks have been trained using J.S. Bach's chorales. In order to evaluate the networks, a metric measuring the distance of the output from the original J.S. Bach's harmonization is defined.