Classification of emotions by Artificial Neural Networks: a comparative study

PATIÑO, H. DANIEL; MUÑOZ, FERNANDO; ROBERTI, FLAVIO; TELLO, EMANUEL

IMPACT AND ADVANCES OF AUTOMATIC CONTROL IN LATINAMERICA

Editorial Artes y Letras S.A.S.

Lugar: Medellín; Año: 2016; p. 81 - 84

Every emotion evidences a biological sign while predisposes the body to a different kind of response. In Human-Computer interaction area, the voice recognition techniques are widely used in text engines. In this context, the automatic emotion recognition of the speech aims at identifying the  emotional or physical condition of a human being from his voice. Both emotional and physical states of a speaker are included in so-called paralinguistic aspects. In this work we used a speech databasecontaining 7 different emotions in which 4 emotions were selected and 12 features were extracted.Emotions were classified by different types of neural networks in order to compare the efficiency of them to discriminate different moods.