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openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-k

Download Now! openEAR-0.1.0.tar.gz (46.9 MB) OR View all files

http://openart.sourceforge.net





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Release Date:

2009-10-07

Topic:

Multimedia, Human Machine Interfaces, Intelligent Agents, Machine Learning, Test and Measurement

License:

GNU General Public License (GPL)

Intended Audience:

Developers, Science/Research, Advanced End Users

Programming Language:

C++, Perl

Registered:

2009-03-31

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  • First release

    The first release of openEAR is now available in the "Files" section. Look for Version 0.1.0 . The release contains source code, binaries for windows and linux, and pre-trained models.

    posted by feyben 46 days ago

  • File released: /openEAR-0.1.0.tar.gz

    posted 46 days ago

  • Feature Extraction

    The core component of the openEAR toolkit, the openSMILE feature extractor is currently developed as a separate sourceforge project: http://sourceforge.net/projects/opensmile . As soon as we release t...

    posted by feyben 123 days ago

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