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beatheavenn's Introduction

Beatheavenn

A simple neural network to generate music. Uses the ScaleChords midi dataset.

Usage

Tested on Linux systems. Requires Keras, Tensorflow and Mido packages, as well as FluidSynth with the respective soundfonts to play the midi files. FluidSynth can also convert the resulting midi to wav using the following command:

fluidsynth -F output.wav -i soundfont.sf2 input.mid

beatheavenn's People

Contributors

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Watchers

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beatheavenn's Issues

Custom loss function

A custom cost function may be useful in rewarding and punishing the network. For example, positive behaviours to reinforce may be repeating phrases in different bars ("motifs") while a negative behaviour would be to repeat a single note for too long.

Implement an attention mechanism

Since RNNs have difficulties dealing with long input sequences, consider experimenting with an attention mechanism. This may improve results since songs usually consist of phrases over several beats, and encoding the data across multiple bars may lead to loss of information.

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