Resources for Speech Recognition • /r/MachineLearning

Mohri is most famously known for his work with finite state transducers(FST). So as you can see his very second lecture is on Finite State Automata(FSA). FSTs and FSAs are very powerful formalisms which using the principle of compositionality can be applied to all parts of the speech recognition pipeline - acoustic modelling, context modelling, lexical modelling, and language modelling. If you like getting your hands dirty, Kaldi is a good first place to start:http://kaldi-asr.org/. And the easiest place to start hacking to see what is going on under the hood is the speech decoder.