An agent-based framework for speech investigation

  • Michael Walsh
  • , Gregory M.P. O'Hare
  • , Julie Carson-Berndsen

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents a novel agent-based framework for investigating speech recognition which combines statistical data and explicit phonological knowledge in order to explore strategies aimed at augmenting the performance of automatic speech recognition (ASR) systems. This line of research is motivated by a desire to provide solutions to some of the more notable problems encountered, including in particular the problematic phenomena of coarticulation, underspecified input, and out-of-vocabulary items. This research also seeks to promote the use of deliberative reasoning agents in the speech and natural language processing arenas.

Original languageEnglish
Pages2701-2704
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: 4 Sep 20058 Sep 2005

Conference

Conference9th European Conference on Speech Communication and Technology
Country/TerritoryPortugal
CityLisbon
Period4/09/058/09/05

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