Multi-agent based Arabic speech recognition

Muhammad Taha*, Tarek Helmy, Reda Abo Alez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
Pages433-436
Number of pages4
DOIs
StatePublished - 2007

Publication series

NameProceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007

Keywords

  • Agent
  • Linear predictive coding
  • Neural network
  • Speech recognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

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