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This is generally due to speaking too far away from the built-in device mic. Its optimal distance is telephoning distance so if the device is far away you won’t get as good results as with the headset mic.
What exactly is happening when the recognition is wrong, is it something like the kid said “cat” but it recognized “hat”, where both “cat” and “hat” are words that are in the language model, or more like the kid said something unrelated but it was recognized as either “cat” or “hat”?
The best advice I can give is to optimize a language model so it doesn’t have a lot of very similar-sounding short words in it, because that is the most challenging circumstance to get right. In that case I might want to use smaller language models and maybe try and see if Rejecto handles rejecting out of vocabulary speech (that’s only helpful if you are getting recognitions due to words which aren’t in the language model at all).
I will take the request about having an option for putting the language models elsewhere under advisement for the next version of OpenEars, you make a good point.