Emotional speaker identification using PCAFCM-deepforest with fuzzy logic
Author:
Funder
University of Sharjah
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10154-w.pdf
Reference56 articles.
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2. Jahangir R, Teh YW, Nweke HF, Mujtaba G, Al-Garadi MA, Ali I (2021) Speaker identification through artificial intelligence techniques: a comprehensive review and research challenges. Expert Syst Appl 171:114591. https://doi.org/10.1016/j.eswa.2021.114591
3. Nassif AB, Shahin I, Elnagar A, Velayudhan D, Alhudhaif A, Polat K (2022) Emotional speaker identification using a novel capsule nets model. Expert Syst Appl 193:116469. https://doi.org/10.1016/j.eswa.2021.116469
4. F. Roumiassa and F.-Z. Chelali, (2020) “Speaker identification and verification system for Arabic and Berber Language,” In: 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP), pp. 242–247, https://doi.org/10.1109/CCSSP49278.2020.9151633
5. V. R. Apsingekar and P. L. De Leon, (2009) “Support vector machine based speaker identification systems using GMM parameters,” In: 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers pp. 1766–1769, https://doi.org/10.1109/ACSSC.2009.5470201
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