Discovery Projects - Grant ID: DP0453143

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP0453143

Funding Status
Closed

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Funded Activity Summary

Using written language to probe speech recognition models. Speech recognition models fall into two principal classes, with fundamentally different processing architectures. Feedback models (e.g. TRACE, McClelland & Elman, 1986) allow lexical knowledge to exert top-down control over phonemic analysis. Feedforward models (e.g. Merge, Norris, McQueen & Cutler, 2000) assume that information flow is entirely bottom-up. Our project adopts an innovative approach to testing between these model classes, by examining the influence of written-word knowledge on speech perception. To distinguish the models, contrasts must test different processing levels and examine strategy effects. TRACE favors broad effects with limited strategic influence; Merge favors lexical effects that are necessarily sensitive to strategic factors

Funded Activity Details

Start Date: 01-09-2006

End Date: 23-10-2009

Funding Scheme: Discovery Projects

Funding Amount: $130,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Psychology | Learning, Memory, Cognition And Language | Sensory Processes, Perception And Performance | Laboratory Phonetics And Speech Science

ANZSRC Socio-Economic Objective (SEO)

Behavioural and cognitive sciences |

Other Keywords

Behavioural and cognitive sciences | Laboratory Phonetics And Speech Science | Learning, Memory, Cognition And Language | Psychology | Sensory Processes, Perception And Performance

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