Spoken language identification based on optimised genetic algorithm–extreme learning machine approach

Author:

Albadr Musatafa Abbas Abbood,Tiun Sabrina,Ayob Masri,AL-Dhief Fahad Taha

Funder

Universiti Kebangsaan Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference38 articles.

1. Albadr, M. A. A., et al. (2018). Spoken language identification based on the enhanced self-adjusting extreme learning machine approach. PLoS ONE, 13(4), e0194770.

2. Albadra, M. A. A., & Tiuna, S. (2017). Extreme learning machine: A review. International Journal of Applied Engineering Research, 12(14), 4610–4623.

3. Andrushia, A. D., & Thangarajan, R. (2019). RTS-ELM: An approach for saliency-directed image segmentation with ripplet transform (pp. 1–13). Pattern Analysis and Applications.

4. Atee, H. A., et al. (2016). A novel extreme learning machine-based cryptography system. Security and Communication Networks, 9(18), 5472–5489.

5. Bi, C. (2010). Deterministic local alignment methods improved by a simple genetic algorithm. Neurocomputing, 73(13–15), 2394–2406.

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