Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network

Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network

This paper aims at recognizing emotions for a text-independent and speaker-independent emotion recognition system based on a novel classifier, which is a hybrid of a cascaded Gaussian mixture model and deep neural network (GMM-DNN). This hybrid classifier has been assessed for emotion recognition on...

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Bibliographic Details
Main Authors: Ismail Shahin, Ali Bou Nassif, Shibani Hamsa
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep neural network
emotion recognition
Gaussian mixture model
Online Access:https://ieeexplore.ieee.org/document/8651287/

Internet

https://ieeexplore.ieee.org/document/8651287/

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