The Efficacy of Deep Learning-Based Mixed Model for Speech Emotion Recognition-Reference-Cited by-同舟云学术

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The Efficacy of Deep Learning-Based Mixed Model for Speech Emotion Recognition

Published:2023 Issue:1 Volume:74 Page:1709-1722
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Amaz Uddin Mohammad,Salah Uddin Chowdury Mohammad,Uddin Khandaker Mayeen,Tamam Nissren,Sulieman Abdelmoneim

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v74n1/49808/pdf

Reference23 articles.

1. A study of emotion recognition and its applications;Yoon,2007

2. Speech emotion recognition with deep learning;Harár,2017

3. Speech emotion recognition;Lalitha,2014

4. Speech emotion recognition using support vector machines;Seehapoch,2013

5. Speech emotion recognition: Methods and cases study;Kerkeni,2018

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1. Multi-Objective Equilibrium Optimizer for Feature Selection in High-Dimensional English Speech Emotion Recognition;Computers, Materials & Continua;2024

2. COMPANIES´USAGE OF AI IN THE CZECH REPUBLIC;AD ALTA: 12/02;2022-12-31

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