Concepedia

Improved Frame Level Features and SVM Supervectors Approach for The Recogniton of Emotional States from Speech: Application to Categorical and Dimensional States

Imen Trabelsi, Dorra Ben Ayed, Noureddine Ellouze

International Journal of Image Graphics and Signal Processing · 2013 · 11 citations · 17 references

DOIFull text

Open access

Abstract

The purpose of speech emotion recognition system is to classify speaker's utterances into different emotional states such as disgust, boredom, sadness, neutral and happiness.

References

17

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

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Libsvm : A library for support vector machines

Vittorio Ferrari · Medical Entomology and Zoology · 2008 · 10.1K citations

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Speaker Verification Using Adapted Gaussian Mixture Models

Douglas A. Reynolds, Thomas F. Quatieri, R.B. Dunn · Digital Signal Processing · 2000 · 4.3K citations

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Speech emotion recognition using hidden Markov models

Tin Lay Nwe, Say Wei Foo, Liyanage C. De Silva · Speech Communication · 2003 · 911 citations

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Emotional speech recognition: Resources, features, and methods

Dimitrios Ververidis, Constantine Kotropoulos · Speech Communication · 2006 · 896 citations

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