slackbuilds_ponce/development/julius/README

"Julius" is a high-performance, two-pass large vocabulary continuous speech 
recognition (LVCSR) decoder software for speech-related researchers and 
developers. Based on word N-gram and context-dependent HMM, it can perform 
almost real-time decoding on most current PCs in 60k word dictation task. 
Major search techniques are fully incorporated such as tree lexicon, N-gram 
factoring, cross-word context dependency handling, enveloped beam search, 
Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it 
is also modularized carefully to be independent from model structures, and 
various HMM types are supported such as shared-state triphones and 
tied-mixture models, with any number of mixtures, states, or phones. 
Standard formats are adopted to cope with other free modeling toolkit such 
as HTK, CMU-Cam SLM toolkit, etc.