Vocal Emotion Recognition in Five Languages of Assam Using Features Based on MFCCs and Eigenvalues of Autocorrelation Matrix and in Presence of Babble Noise
This paper investigates whether vocal emotion expressions of discrete emotion be distinguished from 'Noemotion' (i.e. neutral), one discrete emotion be distinguished from another, surprise, which is actually a cognitive component that could be present with any emotion, be also recognized as distinct emotion, and discrete emotion be recognized cross-lingually. This paper will enable one to get more information regarding nature and function of emotion. Furthermore, this paper will help in developing a generalized vocal emotion recognition system, which will increase the efficiency of human-machine interaction systems.