Speech emotion recognition using hidden Markov models
Speech CommunicationPublished 1 August 2003Open access
Tin Lay Nwe, Say Wei Foo, Liyanage C. De Silva
Citations907
SJR quartileQ4
SJR score0.11
SNIP0.06
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TL;DR
This paper proposes a text independent method of emotion classification of speech that makes use of short time log frequency power coefficients (LFPC) to represent the speech signals and a discrete hidden Markov model (HMM) as the classifier.
Abstract
10.1016/S0167-6393(03)00099-2
Keywords
PsychologyComputer Science
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