That's the problem with raws large models, it should always be coupled with satellite small models and logic. It's (probably) easier to detect hallucinations using a traditional ML/DL model that can catch mismatches (it's easy to build a synthetic dataset for this) than transcribing. And the simplest piece of code can detect a silence and that it should match no text.