Applying Articulatory Features to Speech Emotion Recognition

Abstract

In this paper, we present an approach that using articulatory features (AFs) derived from spectral features for speech emotion recognition. Also, we investigated the combination of AFs and spectral features. Systems based on AFs only and combined spectral-articulatory features are tested on the CASIA Mandarin emotional corpus. Experiments results show that AFs alone are not suitable for speech emotion recognition and that the combination of spectral features and AFs don’t improve the performance of the system that using only spectral features.