Abstract. We describe a sequential neural network for harmonizing melodies in real time. It models aspects of human cognition. This neural network succeeds ...
We describe a sequential neural network for harmonizing melodies in real time. It models aspects of human cognition. This neural network succeeds reasonably ...
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Harmonizing Melodies in Real-Time: the Connectionist Approach. In Proceedings of the 1997 International Computer Music Conference, ICMC 1997, Thessaloniki ...
Abstract. We describe a sequential neural network for harmonizing melodies in real-time. The network models aspects of human cognition and can be used as ...
In this paper we suggest a model that is capable of learning sequences of harmonized melodies. In the generalization phase the net applies what it has learned ...
It is found that representation of metric information is essential to improve the performance of harmonization as measured by the distance function.
Wagner. Harmonizing Melodies in Real-Time: the Connectionist Approach , in Proceedings of the International Computer Music Conference, Thessaloniki, September ...
This includes the generation of errors, confusions, and other problems that arise in real human perception of music, thereby potentially gaining a better.
We describe a sequential neural network for harmonizing melodies in real-time. The network models aspects of human cognition and can be used as the basis ...
With a large amount of music becoming available in computer readable form, real data can be used to train connectionist models. At the beginning of this ...