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Large Vocabulary Continuous Speech
Recognition Engine
(Rev 4.6 2020/09/02)
(Rev 4.5 2019/01/02)
(Rev 4.4.2 2016/09/12)
(Rev 4.4 2016/08/30)
(Rev 4.3.1 2014/01/15)
(Rev 4.3 2013/12/25)
(Rev 4.2.3 2013/06/30)
(Rev 4.2.2 2012/08/01)
(Rev 4.2.1 2011/12/25)
(Rev 4.2 2011/05/01)
(Rev 4.1.5 2010/06/04)
(Rev 4.1 2008/10/03)
(Rev 4.0.2 2008/05/27)
(Rev 4.0 2007/12/19)
(Rev 3.5.3 2006/12/29)
(Rev 3.4.2 2004/04/30)
(Rev 2.0 1999/02/20)
(Rev 1.0 1998/02/20)
Copyright (c) 1991-2020 Kawahara Lab., Kyoto University
Copyright (c) 1997-2000 Information-technology Promotion Agency, Japan
Copyright (c) 2000-2005 Shikano Lab., Nara Institute of Science and Technology
Copyright (c) 2005-2020 Julius project team, Nagoya Institute of Technology
All rights reserved
About Julius
"Julius" is an open-source high-performance large vocabulary
continuous speech recognition (LVCSR) decoder software for
speech-related researchers and developers. Based on word N-gram and
triphone context-dependent HMM, it can perform almost real-time
decoding on most current PCs with small amount of memory.
It also has high versatility. The acoustic models and language models
are plug-gable, and you can build various types of speech recognition
system by building your own models and modules to be suitable for your
task. It also adopts standard formats to cope with other toolkit such
as HTK, CMU-Cam SLM toolkit, etc.
The core engine is implemented as embeddable library, to aim to offer
speech recognition capability to various applications. The recent
version supports plug-in capability so that the engine can be extended
by user.
The main platform is Linux and other Unix workstations, and also works
on Windows, MacOS, iOS, Android and other OS. Julius is distributed
with open license together with source codes.
What's new in Julius-4.6
Julius-4.6 is a minor release with a few new features and many fixes.
- New CUDA support at DNN computation (tested on Linux / CUDA-8,9,10)
- New 1-pass grammar recognition
- Support non-log10nized state priors in DNN model
- Feature normalization pattern added: mean = input self, variance = static
- Now can build almost all tools with Visual Studio 2017 (msvc/Julius.sln)
- Now delivered under simplified BSD License
See Release.txt for full changes and usage example.
Contents of Julius-4.6
(Documents with suffix "ja" are written in Japanese)
00readme.txt ReadMe (This file)
LICENSE.txt Terms and conditions of use
Release.txt Release note / ChangeLog
00readme-DNN.txt DNN-HMM related issues description about Julius for GitHub
configure configure script
Sample.jconf Sample configuration file
Sample.dnnconf Sample DNN configuration file
julius/ Julius sources
libjulius/ JuliusLib core engine library sources
libsent/ JuliusLib low-level library sources
adinrec/ Record one sentence utterance to a file
adintool/ Record/split/send/receive speech data (GUI)
generate-ngram/ Tool to generate random sentences from N-gram
gramtools/ Tools to build and test recognition grammar
jcontrol/ A sample network client module
mkbingram/ Convert N-gram to binary format
mkbinhmm/ Convert ascii hmmdefs to binary format
mkgshmm/ Model conversion for Gaussian Mixture Selection
mkss/ Estimate noise spectrum from mic input
support/ some tools to compile from source
jclient-perl/ A simple perl version of module mode client
plugin/ Several plugin source codes and documentation
man/ Unix online manuals
msvc/ Files to compile on Microsoft VC++ 2013
dnntools/ Sample programs for dnn and vecnet client
binlm2arpa/ Convert binary N-gram to ARPA format
License and Citation
This code is made available under the modified BSD License (BSD-3-Clause License).
Over and above the legal restrictions imposed by this license, when you publish
or present results by using this software, we would highly appreciate if you
mention the use of "Large Vocabulary Continuous Speech Recognition Engine Julius"
and provide proper reference or citation so that readers can easily access
the information of the software. This would help boost the visibility
of Julius and then further enhance Julius and the related software.
Citation to this software can be a paper that describes it,
A. Lee, T. Kawahara and K. Shikano. "Julius --- An Open Source Real-Time Large
Vocabulary Recognition Engine". In Proc. EUROSPEECH, pp.1691--1694, 2001.
A. Lee and T. Kawahara. "Recent Development of Open-Source Speech Recognition
Engine Julius" Asia-Pacific Signal and Information Processing Association Annual
Summit and Conference (APSIPA ASC), 2009.
or a direct citation to this software,
A. Lee and T. Kawahara: Julius v4.5 (2019)
or both.
Contact Us
Julius is now hosted on GitHub:
You can still find older documents and files in previous web page:
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