Improving speech emotion recognition based on acoustic words emotion dictionary

To improve speech emotion recognition, a U-acoustic words emotion dictionary (AWED) features model is proposed based on an AWED. The method models emotional information from acoustic words level in different emotion classes. The top-list words in each emotion are selected to generate the AWED vector...

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Veröffentlicht in:	Natural language engineering 2021-11, Vol.27 (6), p.747-761
Hauptverfasser:	Wei, Wang, Cao, Xinyi, Li, He, Shen, Lingjie, Feng, Yaqin, Watters, Paul A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Artificial neural networks Classifiers Datasets Deep learning Dictionaries Emotion recognition Emotions Neural networks Speech Speech recognition Support vector machines
Online-Zugang:	Volltext
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