OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

Florian Eyben, Martin Wollmer, Bjorn Schuller
2009 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops  
Various open-source toolkits exist for speech recognition and speech processing. These toolkits have brought a great benefit to the research community, i.e. speeding up research. Yet, no such freely available toolkit exists for automatic affect recognition from speech. We herein introduce a novel open-source affect and emotion recognition engine, which integrates all necessary components in one highly efficient software package. The components include audio recording and audio file reading,
more » ... e-of-the-art paralinguistic feature extraction and plugable classification modules. In this paper we introduce the engine and extensive baseline results. Pre-trained models for four affect recognition tasks are included in the openEAR distribution. The engine is tailored for multi-threaded, incremental on-line processing of live input in real-time, however it can also be used for batch processing of databases. 978-1-4244-4799-2/09/$25.00 c 2009 IEEE
doi:10.1109/acii.2009.5349350 dblp:conf/acii/EybenWS09 fatcat:af2nxb7rr5h2fkkg2fvrexqcxe