NSER: Development of Novel Speech based Emotion Recognition System by using Hybrid Learning Technique-Reference-Cited by-同舟云学术

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NSER: Development of Novel Speech based Emotion Recognition System by using Hybrid Learning Technique

Published:2023-11-01 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Nirmala P.¹,Vanathi A.²,A Karunakaran³,Benisha M.⁴,Thiyaneswaran B.⁵,Gunasekaran G.⁶

Affiliation:

1. SIMATS,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai

2. Rajalakshmi Institute of Technology,Department of ECE,Chennai

3. S.A. Engineering College,Department of ECE,Chennai

4. Jeppiaar Institute of Technology, Kunnam,Department of Electronics and Communication Engineering,Chennai,631604

5. Sona College of Technology,Department of ECE,Salem

6. Dr.M.G.R. Educational and Research Institute,Department of Computer Science and Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10368933.pdf?arnumber=10368933

Reference13 articles.

1. A VGG16 Based Hybrid Deep Convolutional Neural Network Based Real-Time Video Frame Emotion Detection System for Affective Human Computer Interaction

2. An Artificial Neural Network Classifier for palm Motion categorization based on EMG signal

3. Speech Emotion Recognition Using Attention Model

4. Learning a Bimodal Emotion Recognition System Based on Small Amount of Speech Data

5. Speech Emotion Recognition using a Novel Feature Vector based on Voiced Probability and Speech Characteristics

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