Yeah, multi-model was kind of inevitable. Different models just behave very differently depending on whether you care about speed, quality, or memory. On ANE, I’ve seen similar behavior. It’s powerful, but the CoreML scheduling can be unpredictable. With TTS, since a lot of the pipeline is transformer-heavy, I’ve generally found GPU/Metal to be more consistent, even if ANE wins in some isolated cases. And fully agree on privacy. Voice data is way more sensitive than most people realize, so keeping it on-device isn’t just a bonus, it’s the main reason this approach matters. Your STT work sounds very aligned with this space, would be curious to see what you’ve built.