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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/7954

Title: Julius --- An Open Source Real-Time Large Vocabulary Recognition Engine
Authors: Akinobu Lee
Tatsuya Kawahara
Kiyohiro Shikano
Issue Date: Sep-2001
Start page: 1691
End page: 1694
Abstract: Julius is a high-performance, two-pass LVCSR decoder for 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 partially works on Windows. Julius is distributed with open license together with source codes, and has been used by many researchers and developers in Japan.
Description: EUROSPEECH2001: the 7th European Conference on Speech Communication and Technology, September 3-7, 2001, Aalborg, Denmark.
URI: http://hdl.handle.net/10061/7954
ISSN: 1018-4074
Rights: Copyright 2001 ISCA
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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