A Novel Optimized Recurrent Network-Based Automatic System for Speech Emotion Identification-Reference-Cited by-同舟云学术

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A Novel Optimized Recurrent Network-Based Automatic System for Speech Emotion Identification

Published:2022-09-15 Issue:3 Volume:128 Page:2217-2243
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Koppula Neeraja^ORCID,Rao Koppula Srinivas,Nabi Shaik Abdul,Balaram Allam

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-022-10040-5.pdf

Reference70 articles.

1. Zhang, L., Fu, W., Shi, F., Zhou, C., & Liu, Y. (2022). A parallel turbo decoder based on recurrent neural network. Wireless Personal Communications. https://doi.org/10.1007/s11277-022-09779-8

2. Subhashini, J., & Kumar, C. M. (2019). An algorithm to identify syllable from a visual speech recognition system. Wireless Personal Communications, 107, 2105–2121. https://doi.org/10.1007/s11277-019-06374-2

3. Sharma, U., Maheshkar, S., Mishra, A. N., & Kaushik, R. (2019). Visual speech recognition using optical flow and hidden Markov model. Wireless Personal Communications, 106, 2129–2147. https://doi.org/10.1007/s11277-018-5930-z

4. Skuratovskii, R. V., & Osadchyy, V. (2021). Analysis of the MFC singuliarities of speech signals using big data methods. In Intelligent computing (pp. 987–1009). Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_70

5. Fu, H., & Lyu, Y. (2022). Facial recognition interaction in a university setting: impression, reaction, and decision-making. International Conference on Information. https://doi.org/10.1007/978-3-030-96957-8_29

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