The repository lets you make phoneme level ngram model of English. To use it, run build_PDF.py, and then pass the output of that into the input of process_PFD.py. The first script will download two text files, combine them, and save the result. The second script will build an ngram model out of that.
The two text files are a pronunciation dictionary and a frequecny dictionary. Combining these gives a pronunciation-frequency dictionary (PFD). From that we can make an ngram model. Here is some example output:
wʌtɚmʌðɚ, sɛlʌm, paʊntɚnmʌnd, brɪkjʌŋ, sʌbʌt, dɪskul
And here is how I would probably spell those words:
Whatermother, Selum, Pounternmund, Brikyung, Suhbut, Diskul