I now had time and did some testing and the CER is already pretty much excellent for TEVR even without the language model, so it appears to me that what the LM

I now had time and did some testing and the CER is already pretty much excellent for TEVR even without the language model, so it appears to me that what the LM does is mostly to fix the spelling. In line with that, recognition performance is still good for medical words, but in some cases the LM will actually reduce quality there by "fixing" a brand-name to a sequence of regular words. Thanks for the perplexity paper :) I'll go read that now.