A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification-Reference-Cited by-同舟云学术

A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification

Published:2022-06-13 Issue:1 Volume:10 Page:54-63
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Prakash P. Ravi¹,Anuradha D.²,Iqbal Javid³,Galety Mohammad Gouse⁴,Singh Ruby⁵,Neelakandan S.⁶

Affiliation:

1. Department of IT, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India

2. Department of Computer Science and Business Systems, Panimalar Engineering College, Chennai, India

3. Institute of Computer Science and Digital Technology (ICSDI), UCSI University, Kuala Lumpur, Malaysia

4. Department of Information Technology, College of IT & CS, Catholic University in Erbil, Erbil, Iraq

5. Department of CSE, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India

6. Department of CSE, R.M.K Engineering College, Sriperumbudur, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Signal Processing,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2022.2085198

Reference30 articles.

1. Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers

2. IFODPSO-based multi-level image segmentation scheme aided with Masi entropy

3. Speech Emotion Recognition using Support Vector Machine

4. A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China

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