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A New Fangled Insinuation for Stress Affect Speech Classification

Author(s): Nachamai.M | T. Santhanam | C.P.Sumathi

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 1;
Issue: 19;
Start page: 19;
Date: 2010;
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Keywords: Affect Recognition | Speech analysis | Support vector machine (SVM) | Probabilistic Neural Network(PNN) | Hidden Markov Model(HMM)

Demarcation in human interaction is through two channels:one transmits explicit messages; the other transmits implicitmessages about the speakers themselves knowingly orunknowingly. Both linguistics and technology haveinvested enormous effort in trying to understand the first(explicit) channel, but the second (implicit) is not as wellunderstood. First, building an emotion detection systemmakes it possible to assess the extent to which theoreticalproposals explain people's everyday competence inunderstanding emotion. Second, model building enforcescoherence. It is true that emotions play an important role inthe making of speech. The deduction of emotions fromspeech is of recent origin and it is the primary focus of thisresearch paper.
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