A multi-agent computational linguistic approach to speech recognition

Authors:
Michael Walsh;Robert Kelly;Gregory M. P. O'Hare;Julie Carson-Berndsen;Tarek Abu-Amer
Affiliations:
University College Dublin, Ireland;University College Dublin, Ireland;University College Dublin, Ireland;University College Dublin, Ireland;University College Dublin, Ireland
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

Citing 3
Cited 1

The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty

ACM Computing Surveys (CSUR)
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence

Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Time Map Phonology: Finite State Models and Event Logics in Speech Recognition

Time Map Phonology: Finite State Models and Event Logics in Speech Recognition

Computational linguistic motivations for a finite-state machine hierarchy

CIAA'03 Proceedings of the 8th international conference on Implementation and application of automata

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Abstract

This paper illustrates how a multi-agent system implements and governs a computational linguistic model of phonology for syllable recognition. We describe how the Time Map model can be recast as a multi-agent architecture and discuss how constraint relaxation, output extrapolation, parse-tree pruning, clever task allocation, and distributed processing are all achieved in this new architcture.