Emotion Recognition Using Audio Speech Signal
Maj Smerkol, Mitja LuÃ…Â¡trek
Progress in Signals and Telecommunication Engineering, Vol. 7, No. 2, 2018.
DOI: 
Link: http://www.dline.info/pste/fulltext/v7n2/pstev7n2_3.pdf
Abstract:
Emotion recognition is an important part of affective-aware applications. Specifically, using audio speech signal has the advantage of being compatible with applications using a natural language interface. There are multiple valid
representations of emotions. We propose a new representation aimed at using differently labeled databases jointly. We
include a short overview of some of the available databases and methods for feature extraction and selection. Both classification
of emotions and regression in 2D emotional space are discussed. We concentrate on using neural networks for both tasks.
Regression provides good results but is hard to interpret while classification is more robust.