Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks-Reference-Cited by-同舟云学术

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Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks

Published:2022 Issue: Volume:10 Page:37149-37163
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Amjad Ammar¹^ORCID,Khan Lal¹^ORCID,Ashraf Noman²^ORCID,Mahmood Muhammad Bilal³,Chang Hsien-Tsung¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan

2. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

3. Department of Software Engineering, Dalian University of Technology, Dalian, China

Funder

Chang Gung Memorial Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09745600.pdf?arnumber=9745600

Reference99 articles.

1. Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition

2. Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition

3. Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

4. Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

5. Speech emotion recognition using deep neural network and extreme learning machine;han;Proc INTERSPEECH,2014

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