Speech Emotion Recognition using Fuzzy-Based CNN with Optimal  Feature Selection using Beluga Whale Optimization

Chandupatla Deepika ,Dr. K. Swarna,Dr. Syed Khasim

Speech Emotion Recognition using Fuzzy-Based CNN with Optimal Feature Selection using Beluga Whale Optimization

Authors

Chandupatla Deepika ,Dr. K. Swarna,Dr. Syed Khasim

Keywords:

Speech emotion recognition, Fuzzy neural networks, Convolutional neural networks, Beluga whale optimization, Feature selection, MFCC, Deep learning

Abstract

Speech Emotion Recognition (SER) plays a vital role in human–computer interaction, healthcare,security, and psychological analysis. However, existing SER systems face challenges due to noise, speaker variations, and the

References

Akçay, M.B. and Oğuz, K. (2020) 'Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers', Speech Communication, 116, pp. 56-76

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Published

2024-05-20

How to Cite

Chandupatla Deepika ,Dr. K. Swarna,Dr. Syed Khasim. (2024). Speech Emotion Recognition using Fuzzy-Based CNN with Optimal Feature Selection using Beluga Whale Optimization . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3090–3110. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4192