Multistyle classification of speech under stress using feature subset selection based on genetic algorithms

The determination of an emotional state through speech increases the amount of information associated with a speaker. It is therefore important to be able to detect and identify a speaker’s emotional state or state of stress. Various techniques are used in the literature to classify emotional/stress...

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Veröffentlicht in:	Speech communication 2007-10, Vol.49 (10), p.801-810
Hauptverfasser:	Casale, Salvatore, Russo, Alessandra, Serrano, Salvatore
Format:	Artikel
Sprache:	eng
Schlagworte:	Genetic algorithms Hidden Markov models Nonlinear features Speech under stress Stress classification
Online-Zugang:	Volltext
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