@inproceedings{0817f1a500f0426dbe9f5305885c7c3f,
title = "Multi-agent based Arabic speech recognition",
abstract = "This paper presents a novel agent-based design for Arabic speech recognition. We define the Arabic speech recognition as a Multi-Agent-System where each agent has a specific goal and deals with that goal only. Once all the small tasks are accomplished the big task is too. A number of agents are required in order to recast Arabic speech recognition, namely the Feature Extraction Agent and the Pattern Classification Agent. These agents are detailed in this paper.",
keywords = "Agent, Linear predictive coding, Neural network, Speech recognition",
author = "Muhammad Taha and Tarek Helmy and Alez, {Reda Abo}",
year = "2007",
doi = "10.1109/WIIATW.2007.4427623",
language = "English",
isbn = "0769530281",
series = "Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007",
pages = "433--436",
booktitle = "Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007",
}