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INSTALL (10337, 2016-05-24)
JULIUS_LICENSE (9064, 2016-05-24)
Makefile.am (3208, 2016-05-24)
NEWS (62, 2016-05-24)
PORTAUDIO_LICENSE.txt (3524, 2016-05-24)
SMILExtract (3789876, 2016-05-24)
SMILExtract.exe (11776, 2016-05-24)
SMILExtract_NOpa.exe (11776, 2016-05-24)
arff_naninfzero_checker.pl (1067, 2016-05-24)
autogen.sh (774, 2016-05-24)
clonecomp.pl (929, 2016-05-24)
config (0, 2016-05-24)
config\MFCC12_E_D_A.conf (5753, 2016-05-24)
config\MFCC12_E_D_A_Z.conf (6346, 2016-05-24)
config\emo_IS09.conf (6216, 2016-05-24)
config\emo_large.conf (6565, 2016-05-24)
config\emobase.conf (8073, 2016-05-24)
config\emobase_live4.conf (13350, 2016-05-24)
configure.ac (1201, 2016-05-24)
doc (0, 2016-05-24)
doc\26-TUM-Tools-openEAR.pdf (356398, 2016-05-24)
doc\classes.txt (888, 2016-05-24)
doc\components.txt (247, 2016-05-24)
doc\configfile.txt (4297, 2016-05-24)
doc\dataMemory.txt (990, 2016-05-24)
doc\implementing_components.txt (3944, 2016-05-24)
doc\logger.txt (142, 2016-05-24)
doc\messages.txt (2721, 2016-05-24)
doc\openEAR_tutorial.pdf (162484, 2016-05-24)
ide (0, 2016-05-24)
ide\openSmile.dev (18257, 2016-05-24)
ide\vs2005 (0, 2016-05-24)
ide\vs2005\openSmile.sln (887, 2016-05-24)
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openEAR - the Munich open Emotion and Affect Recognition toolkit - Copyright (C) 2008-2009 by Florian Eyben, Martin Woellmer, Bjoern Schuller Institute for Human-Machine Communication Technische Universitaet Muenchen (TUM) D-80333 Munich, Germany eyben at tum.de , woellmer at tum.de , schuller at tum.de >> Please do also have a look at the files CREDITS and CREDITS.openEAR for acknowledgements of additional contributors. << *******************************NOTE:*********************************** If you use openEAR/openSMILE or any code from it in your research work, you are kindly asked to acknowledge the use of openEAR in your publications by citing the following paper: Florian Eyben, Martin Wllmer, Bjrn Schuller: "openEAR - Introducing the Munich Open-Source Emotion and Affect Recognition Toolkit", to appear in Proc. 4th International HUMAINE Association Conference on Affective Computing and Intelligent Interaction 2009 (ACII 2009), IEEE, Amsterdam, The Netherlands, 10.-12.09.2009 *********************************************************************** * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details (file: COPYING). * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA See the file COPYING for details About openEAR: ================ openEAR is a complete and open toolkit for audio analysis, processing and classification especially targeted at speech and emotion recognition. The toolkit is developed at the Institute for Human-Machine Communication at the Technische Universitaet Muenchen in Munich, Germany. It was started withtin the SEMAINE EU FP7 research project. The following main components are currently available in openEAR: * SMILExtract - Standalone commandline feature extractor and live recogniser (source code in src/) * config/ - Various example configuration files * models/ - Pre-trained emotion recognition models * doc/ - Introductory tutorial and developer's documentation Third-party dependencies: ========================= openSMILE uses LibSVM (by Chih-Chung Chang and Chih-Jen Lin) for classification tasks. It is included in the svm/ directory in the release. PortAudio is required for live recording from sound card and for the SEMAINE component. You can get it from: http://www.portaudio.com More optional third-party dependencies include the Julius LVCSR engine and Alex Graves' RNNLIB. Documentation: =============== ** For more documentation, please read the file doc/openEAR_tutorial.pdf **

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