Multi-agent Based Arabic Speech Recognition

Authors:
Muhammad Taha;Tarek Helmy;Reda Abo Alez
Affiliations:
-;-;-
Venue:
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Year:
2007

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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.