This guide was written by a user who thought the learning curve was too high: http://kaldi-asr.org/doc/kaldi_for_dummies.html http://kaldi-asr.org/doc/kaldi_for

This guide was written by a user who thought the learning curve was too high: http://kaldi-asr.org/doc/kaldi_for_dummies.html http://kaldi-asr.org/doc/kaldi_for_dummies.html The reality is that you will have to study a lot to truly understand the toolkit though. Speech recognition isn't as simple as image recognition where you can just throw a neural network at the problem (that might come off as offensive, but it really is more complicated). Note that you do not need a doctorate in speech recognition to understand it, as I don't have one. In hindsight, the resources most useful to me when I first began working with Kaldi were: - the HTK book (behind a login wall, annoyingly) - This book http://mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf http://mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf - The finite state transducers paper http://www.cs.nyu.edu/~mohri/pub/hbka.pdf http://www.cs.nyu.edu/~mohri/pub/hbka.pdf