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.
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References
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De Prisco, R., Eletto, A., Torre, A., Zaccagnino, R. (2010). A Neural Network for Bass Functional Harmonization. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2010. Lecture Notes in Computer Science, vol 6025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12242-2_36
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DOI: https://doi.org/10.1007/978-3-642-12242-2_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12241-5
Online ISBN: 978-3-642-12242-2
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