Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition

A challenging issue in the field of the automatic recognition of emotion from speech is the efficient modelling of long temporal contexts. Moreover, when incorporating long-term temporal dependencies between features, recurrent neural network (RNN) architectures are typically employed by default. In...

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Veröffentlicht in:	Neural networks 2021-09, Vol.141, p.52-60
Hauptverfasser:	Zhao, Ziping, Li, Qifei, Zhang, Zixing, Cummins, Nicholas, Wang, Haishuai, Tao, Jianhua, W. Schuller, Björn
Format:	Artikel
Sprache:	eng
Schlagworte:	Connectionist temporal classification Parallel 2D CNN Residual dilated network Self-attention Speech emotion recognition
Online-Zugang:	Volltext
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