Drum and Melody Generation using LSTM - based Neural Networks
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2019-02-12
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en
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Abstract
For this project, I constructed two LSTM
- based neural networks that can generate
monophonic melodies and polyphonic
drum patterns. As opposed to
projects which were conducted in the
past, this attempt was focused on a
combination of genres rather than training
on only one instrument from one
genre. When generating melodies, the
patterns that resulted from this challenge
were somewhat chaotic with some potentially
inspirational exceptions. Generated
drums, on the other hand, oftentimes
converged to an "average of all
genres" when no controlled randomness
was introduced (section 7.1.5). A better
imitation of the training data can certainly
be achieved by using only one
genre. But the involvement of several
different genres led to a more unpredictable
and creative outcome.
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Faculteit der Sociale Wetenschappen