Multi-agent Based Arabic Speech Recognition
Muhammad Taha, Tarek Helmy, Reda Abo Alez · 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops · 2007
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.