====================================================================== Large Vocabulary Continuous Speech Recognition Engine Julius (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 README.md description about Julius for GitHub configure configure script configure.in 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) https://doi.org/10.5281/zenodo.2530395 or both. Contact Us =========== Julius is now hosted on GitHub: https://github.com/julius-speech/julius You can still find older documents and files in previous web page: http://julius.osdn.jp/ https://osdn.jp/projects/julius/