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Comment by sdenton4

1 day ago

There's two answers to that....

The first is, how do you know the subjective optimization your making is actually any good? You're just moving the problem back one layer of abstraction.

The second is, we did that, eventually, by training models to predict subjective listening scores from the giant pile of subjective test data we had collected over the years. (ViSQoL) It's great, but we still don't trust it for end-of-the-day, cross codec comparison, because we don't want to reward overfit on the trained model.

https://arxiv.org/abs/2004.09584