Title :
Multi-agent Based Arabic Speech Recognition
Author :
Taha, Muhammad ; Helmy, Tarek ; Alez, Reda Abo
Author_Institution :
Cairo Univ., Cairo
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 :
feature extraction; multi-agent systems; speech processing; speech recognition; agent-based design; feature extraction agent; multi-agent based Arabic speech recognition; pattern classification agent; Automatic speech recognition; Feature extraction; Hidden Markov models; Intelligent agent; Intelligent sensors; Linear predictive coding; Natural languages; Pattern classification; Speech recognition; Standards development;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
Conference_Location :
Silicon Valley, CA
Print_ISBN :
0-7695-3028-1
DOI :
10.1109/WI-IATW.2007.54
