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There are many models to choose from when training a musical corpus.  We’ll run through the main candidates briefly and explain why we settled on the transformer model with attention when we turn to AI training in the future.   Artificial Intelligence Models AI models were designed for various purposes, such as pictures, words, and classifying…

Having dealt with both the distribution of durations, duration ratios, and rests in the Skiptune database, the last item is the pitch differential:  The difference between any note’s pitch and its neighbor on either side.  Let’s start with the basic counts: 4,446,196 note-to-note transitions 92.7 percent of all transitions are between notes 7.3 percent involve…

Now that we have a basic understanding about entropy in music, we finish off the pre-training discussion of rests by focusing on how they affect duration ratios in the database.  It turns out that rests inform us about the rhythmic structure of the tunes in the corpus.   Let’s look at the concentration of ratios in…

Before we can finish up our discussion of rests, notably their duration ratios, we need to introduce and explain entropy, as it’s a metric we will use when deciding how (or not) to use rests in our AI training.   “Entropy” puts off a lot of people, but it turns out to be highly useful in…