Emotion recognition from syllabic units using k-nearest-neighbor classification and energy distribution

In this article, we present an automatic technique for recognizing emotional states from speech signals. The main focus of this paper is to present an efficient and reduced set of acoustic features that allows us to recognize the four basic human emotions (anger, sadness, joy, and neutral). The prop...

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Veröffentlicht in:	International journal of electrical and computer engineering (Malacca, Malacca) Malacca), 2021-12, Vol.11 (6), p.5438
Hauptverfasser:	Agrima, Abdellah, Mounir, Ilham, Farchi, Abdelmajid, Elmaazouzi, Laila, Mounir, Badia
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Consonants (speech) Emotion recognition Emotional factors Emotions Energy distribution Resonant frequencies Speech recognition
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