Sorry, I wasn't clear -- what I meant to say is that even inside the limitations of HMM, it's absurd to imply that CMUSphinx has made no progress on the state of the art in the 90s. A greatly improved methodology/approach to HMM is hard won, and it's unfair to minimize that effort that produced progreess in an old method just because a new method has been developed.

neural network models have their own downsides, the biggest one of which being training -- why throw the baby out with the bathwater instead of taking the approach kaldi has taken, possibly building a neural network model alternative inside sphinx?

Let CMU plug away at making HMMs better, while you plug away at making neural networks better, but interoperate so everyone gets both benefits? You can even maybe make some headway with the neural network bootstrapping problem with some help from the progress CMU has already made.