Pocketsphinx is a lightweight, cross-platform, speaker-independent, large-vocabulary continuous speech recognition engine.

this package contains the default language model for pocketsphinx. it was trained from approximately 160 million words of broadcast news text from the hub4 corpus, and has a vocabulary of 5000 word types.