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Quantile normalize timbre transfer demo.
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Better compensates for difference in loudness curves between the source and training data. Also added a crude form of "autotuning". Since we're using Pickle to save and load quantile transforms, we have to freeze the version of scikit-learn as loading breaks between versions.

PiperOrigin-RevId: 314434946
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jesseengel authored and Magenta Team committed Jun 3, 2020
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