Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network-Reference-Cited by-同舟云学术

Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network

Published:2023-03-17 Issue:3 Volume:7 Page:317-335
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Pham Nhat Truong¹²^ORCID,Nguyen Sy Dzung³⁴^ORCID,Nguyen Vu Song Thuy⁵,Pham Bich Ngoc Hong⁶^ORCID,Dang Duc Ngoc Minh⁷^ORCID

Affiliation:

1. Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

2. Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

3. Laboratory for Computational Mechatronics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam

4. Faculty of Mechanical – Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

5. Department of Computer Science and Engineering, Michigan State University, Michigan, MI, USA

6. Faculty of Information Technology, Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam

7. Computing Fundamental Department, FPT University, Ho Chi Minh City, Vietnam

Funder

Vietnam National Foundation for Science and Technology Development

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2023.2187278

Reference42 articles.

1. Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features

2. Deep features-based speech emotion recognition for smart affective services

3. CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition

4. A database of German emotional speech

5. Real-Time Speech Emotion Analysis for Smart Home Assistants

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