Arabic isolated word recognition system using hybrid feature extraction techniques and neural network-Reference-Cited by-同舟云学术

Arabic isolated word recognition system using hybrid feature extraction techniques and neural network

Published:2017-11-23 Issue:1 Volume:21 Page:29-37
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Boussaid Lotfi^ORCID,Hassine Mohamed

Funder

LARATSI Lab

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s10772-017-9480-7/fulltext.html

Reference15 articles.

1. Al-Irhayim, Y. F., & Hussein, M. K. (2016). Speech recognition of isolated Arabic words via using wavelet transformation and fuzzy neural network. In Computer engineering and intelligent systems (Vol. 7, No.3).

2. El Kourd, A. (2014). Arabic isolated word speaker dependent recognition system, Thesis, Islamic University, Gaza, Palestine, Faculty of Engineering, Computer Engineering Department.

3. El Kourd, A., & El Kourd, K. (2016). Arabic isolated word speaker dependent recognition system. British Journal of Mathematics & Computer Science 1–15.

4. Elouahabi, S., Atounti, M., Bellouki, M. (2016). Amazigh Isolated Word Speech Recognition System Using Hidden Markov Model Toolkit (HTK). In IEEE Xplore, International Conference on Information Technology for Organizations Development (IT4OD) (pp. 1–7). https://doi.org/10.1109/IT4OD.2016.7479305 .

5. Hamdan, S., & Shaout, A. (2016). Hybrid Arabic speech recognition system using FFT, fuzzy logic and neural network, IRACST: International Journal of Computer Science and Information Technology & Security (IJCSITS), 6(No.4).

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