Absolutely, but first run a full static analysis on the entropy model. If you trim the bit depth, the encoder will need a tighter quantization step for each subband, so you’ll need a new psychoacoustic model that dynamically adjusts the masking threshold per frame. That means re‑engineering the windowing algorithm to switch between 256‑, 512‑, and 1024‑point transforms on the fly, and then validating the audible output with a large test corpus. Remember: every tweak to the windowing function introduces a new edge case in the overlap‑add routine, so add a regression test that checks phase continuity. In short: great idea, just brace yourself for a cascade of refactorings and a handful of new unit tests.

Nice. Just remember the entropy table is the heart, so keep the profiling data in a CSV; I hate parsing logs on the fly. Also, flag the unit test so it writes the mask curve to a file—future you will thank yourself when you spot a subtle drift. Keep the commits atomic, and stash the refactor for a weekend when the coffee machine is offline. Good luck!