[daanzu]

Yep, I have been using my Kaldi backend through Dragonfly exclusively ever since I got v0.1.0 working.

I bootstrapped writing it initially using the Dragonfly WSR (windows speech recognition) backend, because that gave me the best accuracy out of the available options at the time. All of my development of it since the initial working version has been done using each previous version, so now it is basically bootstrapped itself. My productivity skyrocketed once I switched to Kaldi, due to being able to use my custom trained speech model just for my voice for orders of magnitude better accuracy, plus dramatically lower latency. (And it freed me from being dependent on closed software out of my control.)

I bootstrapped my personal speech model by retaining the commands from me using WSR. My voice is quite abnormal, and it took only 10 hours of speech data to train a model dramatically more accurate than any generic model I've ever used. And of course, I retain much of my usage now with Kaldi, so my model improves more and more over time. A virtuous flywheel!