A Hybrid Meta-Heuristic Feature Selection Method Using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition
- DOI
- 10.1109/access.2020.3035531
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.3035531,
title = {A Hybrid Meta-Heuristic Feature Selection Method Using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition},
author = {Arijit Dey and Soham Chattopadhyay and Pawan Kumar Singh and Ali Ahmadian and Massimiliano Ferrara and Ram Sarkar},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.3035531},
url = {https://doi.org/10.1109/access.2020.3035531}
}RIS
TY - JOUR TI - A Hybrid Meta-Heuristic Feature Selection Method Using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition AU - Arijit Dey AU - Soham Chattopadhyay AU - Pawan Kumar Singh AU - Ali Ahmadian AU - Massimiliano Ferrara AU - Ram Sarkar PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.3035531 UR - https://doi.org/10.1109/access.2020.3035531 ER -
APA
Dey, A., Chattopadhyay, S., Singh, P. K., Ahmadian, A., Ferrara, M., & Sarkar, R. (2020). A Hybrid Meta-Heuristic Feature Selection Method Using Golden Ratio and Equilibrium Optimization Algorithms for Speech Emotion Recognition. IEEE Access. https://doi.org/10.1109/access.2020.3035531
Source records
- crossref · retrieved 2026-09-24T23:40:13.846Z