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Vocal Emotion Recognition in Five Languages of Assam Using Features Based on MFCCs and Eigenvalues of Autocorrelation Matrix and in Presence of Babble Noise

Date Added: Jan 2010
Format: PDF

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.