Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word 3-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 20k 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. The main platform is Linux and other Unix workstations, and also works on Windows. Julius is distributed with open license together with source codes, and has been used by many researchers and developers in Japan.
Here are some key features of "Julius Speech Recognition Engine":
· An open-source software (see terms and conditions of license (Japanese and English translation)).
· Real-time hi-speed and accurate recognition based on 2-pass strategy.
· Low memory requirement: less than 32MBytes required for work area (
Product's homepage
Find us on Google+
