Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network

Author:

Shahin IsmailORCID,Nassif Ali BouORCID,Hamsa Shibani

Funder

University of Sharjah through the two competitive research projects entitled “Emotion Recognition in each of Stressful and Emotional Talking Environments Using Artificial Models”

“Capturing, Studying, and Analyzing Arabic Emirati-Accented Speech Database in Stressful and Emotional Talking Environments for Different Applications”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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2. An Efficient Voice-Based Emotion Recognition Using Hybrid Capsule Slime Mould Dense Deep Learning Framework;International Journal of Pattern Recognition and Artificial Intelligence;2024-08-24

3. A Deep GRU-BiLSTM Network for Multi-modal Emotion Recognition from Text;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

4. Analyzing the influence of different speech data corpora and speech features on speech emotion recognition: A review;Speech Communication;2024-07

5. Study the Effect of Gender on Speech Emotion Recognition Using Algerian, German, and Persian Databases;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12

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