Steps to reproduce results on Librispeech

Run data and auxiliary files (like lexicon, tokens set, etc.) preparation (set necessary paths instead of [...]: data_dst path to data to store, model_dst path to auxiliary path to store, kenlm path to prepare language model for decoding)

python3 prepare.py --data_dst [...] --model_dst [...] --kenlm [...]

Besides data the auxiliary files for acoustic and language models training/evaluation will be generated:

cd $MODEL_DST
tree -L 2
.
├── am
│   ├── lexicon_train+dev.txt
│   └── tokens.txt
└── decoder
    ├── 4-gram.arpa
    ├── 4-gram.bin
    └── lexicon.txt

To run training/decoding:

• Fix the paths inside *.cfg
• Run training with train.cfg
• Run decoding with decode*.cfg