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@ -246,7 +246,7 @@ Plots the number of samples you have in character lengths range.
E.g. For samples in the 100 character lengths range, there are about 125 samples of it.
It's important to keep this plot as normally distributed as possible so that the model has enough data to produce a natural speech rate. If the chart look's off balance, you may get weird speech rate during voice generation.
It's important for this plot to have a smooth distribution. Normal distribution is what we went with for our data set but a uniform distribution may also be of value. If the chart look's off balance, you may get weird speech rate during voice generation.
Below is an example of a bad distribution for the number of samples. This distribution will generate sequences in the 25 - 100 character lengths well, but anything past that will have bad quality. In this example, you may experience a speed up in speech rate as the model try to squish 150 characters in 3 seconds.