Harmonizing Melodies in Real-Time: the Connectionist Approach

Dan Gang, Daniel Lehmann, Naftali Wagner

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

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 constraints the imposed by real time processing. The model exploits efficiently 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.

Original languageEnglish
JournalInternational Computer Music Conference, ICMC Proceedings
StatePublished - 1997
Event23rd International Computer Music Conference, ICMC 1997 - Thessaloniki, Greece
Duration: 25 Sep 199730 Sep 1997

Bibliographical note

Publisher Copyright:
© 1997 International Computer Music Conference, ICMC Proceedings. All rights reserved.

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