DocumentCode
2732880
Title
Multi-agent Based Arabic Speech Recognition
Author
Taha, Muhammad ; Helmy, Tarek ; Alez, Reda Abo
Author_Institution
Cairo Univ., Cairo
fYear
2007
fDate
5-12 Nov. 2007
Firstpage
433
Lastpage
436
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/WI-IATW.2007.54
Filename
4427623
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