Feature Fusion Based on Main-Auxiliary Network for Speech Emotion Recognition

Speech emotion recognition is an important research direction of human-computer interaction. Effective feature extraction and fusion are among the key factors to improve the rate of speech emotion recognition. In this paper, a speech emotion recognition algorithm using Main-auxiliary networks for de...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Desheng HU, Xueying ZHANG, Jing ZHANG, Baoyun LI
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Editorial Office of Journal of Taiyuan University of Technology 2021-09-01
Serie:	Taiyuan Ligong Daxue xuebao
Ämnen:	speech emotion recognition main-auxiliary network long-short term memory convolutional neural network
Länkar:	https://tyutjournal.tyut.edu.cn/englishpaper/show-331.html
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!