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-"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.
+"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.