Would be cool if you could run these speech models in tandem, and compute a new error-rate for the consensus of them.

Can you elaborate on how you see this working?

run voice through 3 models, when one model is different than the other two then throw it away.

problems abound with that approach, but I could envision it.

What would you use in production?