Sign in
Back
Multi-agent based Arabic speech recognition
Conference proceeding

Multi-agent based Arabic speech recognition

Muhammad Taha, Tarek Helmy, Reda Abo Alez and IEEE Comp Soc
PROCEEDING OF THE 2007 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS, pp.433-436
01/01/2007
DOI: https://doi.org/10.1109/WI-IATW.2007.54

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering Engineering Engineering, Electrical & Electronic Science & Technology Technology
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.

Metrics

1 Record Views

Details