OpenEAR

OpenEAR--introducing the Munich open-source emotion and affect recognition toolkit 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

References in zbMATH (referenced in 1 article )

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  1. Mporas, Iosif; Ganchev, Todor: Estimation of unknown speaker’s height from speech (2009)