Harmonizing Melodies in Real - Time : theConnectionist

Abstract

We describe a sequential neural network for harmonizing melodies in real time. It models aspects of human cognition. This neural network succeeds reasonably well, if we take into consideration the constraints imposed by real time processing. The model exploits eeciently the available sequential information. The net contains a sub-net for meter that produces a periodic index of meter, providing the needed metric awareness. The net learns the relations between important notes of the melody and their harmonies and is able to produce harmonies for new melodies in real time, i.e., without knowledge of the future development of the melody.

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Cite this paper

@inproceedings{Lehmann1997HarmonizingMI, title={Harmonizing Melodies in Real - Time : theConnectionist}, author={Daniel Lehmann}, year={1997} }