PCA-Based Feature Selection and Hybrid Classification Model for Speech Emotion Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3315-0_26
Reference9 articles.
1. Lotfidereshgi R, Gournay P (2017) Biologically inspired speech emotion recognition. ICASSP. IEEE
2. Sun L, Li Q, Fu S, Li P (2021) Emotion recognition based on genetic algorithm–decision tree fusion of deep and Speech acoustic features. ETRI J 462–475
3. Ying Y, Tu Y, Zhou H (2021) Unsupervised feature learning for speech emotion recognition based on auto encoder. MDPI
4. Kaur K, Singh P (2022) Impact of feature extraction and feature selection algorithms on Punjabi speech emotion recognition using convolutional neural network. ACM Trans 21(5):1–23
5. Yildirim S, Kaya Y, Kilic F (2020) A modified feature selection method based on metaheuristic algorithms for speech emotion recognition. Appl Acoustics 173
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