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-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.

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Additional Project Details

Operating Systems

Linux

Intended Audience

Science/Research, Telecommunications Industry, Advanced End Users, Developers, Engineering

Programming Language

Perl, C++

Related Categories

Perl Intelligent Agents, Perl HMI Software, Perl Multimedia Software, Perl Machine Learning Software, Perl Test and Measurement Software, C++ Intelligent Agents, C++ HMI Software, C++ Multimedia Software, C++ Machine Learning Software, C++ Test and Measurement Software

Registered

2009-03-31