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A framework to compare music generative models using automatic evaluation metrics extended to rhythm

By Sebastian Garcia-Valencia and others
To train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of music composition, the nature of the problem helps to narrow the options but at the same time, some other options appear... Show more
January 19, 2021
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A framework to compare music generative models using automatic evaluation metrics extended to rhythm
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