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Perhaps a better way of looking at it is this. Basically, a sound triggers hair cells in the ear. A single harmonic tone triggers a single group of hair cells. Through modeling, you can compute which hair cells are triggered at what moment for a given signal. Your task is then to compute a new signal for which the same haircells are triggered but faster.

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I think their description is a much more actionable description of it than yours, to be honest.

Yes, it would require some math, but I suspect you'd get superior results. For example, you can replace the "modeling" by the FFT transform applied to small time-slices (i.e., this determines which hair-cells get triggered at a given time). Now you have to stitch these slices together without introducing spurious frequencies, which is the difficult part.

Are you trolling us? The ear drum is how you hear...

I'm not sure what about that post sounded like a troll to you. It sounds like a reasonable approach, to me.

"hair cells in the ear" isn't how hearing works. That's how balance works :/

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