Anchor Models for Emotion Recognition from Speech

In this paper, we study the effectiveness of anchor models applied to the multiclass problem of emotion recognition from speech. In the anchor models system, an emotion class is characterized by its measure of similarity relative to other emotion classes. Generative models such as Gaussian Mixture M...

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Veröffentlicht in:	IEEE transactions on affective computing 2013-07, Vol.4 (3), p.280-290
Hauptverfasser:	Attabi, Yazid, Dumouchel, Pierre
Format:	Artikel
Sprache:	eng
Schlagworte:	Anchor models children's speech Computational modeling Emotion recognition GMM model Hidden Markov models Measurement skewed distribution Speech Speech recognition Vectors WCCN
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