Optimal parameters selected for automatic recognition of spoken Amazigh digits and letters using Hidden Markov Model Toolkit-Reference-Cited by-同舟云学术

Optimal parameters selected for automatic recognition of spoken Amazigh digits and letters using Hidden Markov Model Toolkit

Published:2020-10-23 Issue:4 Volume:23 Page:861-871
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

El Ouahabi Safâa,Atounti Mohamed,Bellouki Mohamed

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/content/pdf/10.1007/s10772-020-09762-3.pdf

Reference34 articles.

1. Abenaou, F., Allah, A., & Nsiri, B. (2014). Vers un système de reconnaissance automatique de la parole Amazigh basé sur les transformations orthogonales paramétrables. Asinag. 133–145.

2. Al-Qatab, B. A. Q. & Ainon, R. N. (2010). Arabic speech recognition using Hidden Markov Model Toolkit (HTK). In: International Symposium in Information Technology (ITSim), Kuala Lumpur, pp. 15–17.

3. Ataa Allah, F. & Boulaknadel, S. (2012). Natural language processing for Amazigh Language: Challenges and future directions. In: Workshop on Language Technology for Normalisation of Less-Resourced Languages (SALTMIL8/AfLaT2012).

4. Boukous, A. (2009). Phonologie de l’Amazigh. Rabat: Institut royal de la culture Amazigh.

5. Boukous, A. (2012). The planning of Standardizing Amazigh language. The Moroccan Experience, IR-CAM.

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