Bridging automatic speech recognition and psycholinguistics: Extending 
Shortlist to an end-to-end model of human speech recognition [Letter to the 
editor]

Scharenborg, Odette; ten Bosch, L.; Boves, L.; Norris, D.

doi:10.1121/1.1624065

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Bridging automatic speech recognition and psycholinguistics: Extending Shortlist to an end-to-end model of human speech recognition [Letter to the editor]

MPS-Authors

There are no MPG-Authors in the publication available

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

FC7D8568d01.pdf
(Publisher version), 41KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Scharenborg, O., ten Bosch, L., Boves, L., & Norris, D. (2003). Bridging automatic speech recognition and psycholinguistics: Extending Shortlist to an end-to-end model of human speech recognition [Letter to the editor]. Journal of the Acoustical Society of America, 114, 3032-3035. doi:10.1121/1.1624065.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-D1E3-2

Abstract

This letter evaluates potential benefits of combining human speech recognition ~HSR! and automatic speech recognition by building a joint model of an automatic phone recognizer ~APR! and a computational model of HSR, viz., Shortlist @Norris, Cognition 52, 189–234 ~1994!#. Experiments based on ‘‘real-life’’ speech highlight critical limitations posed by some of the simplifying assumptions made in models of human speech recognition. These limitations could be overcome by avoiding hard phone decisions at the output side of the APR, and by using a match between the input and the internal lexicon that flexibly copes with deviations from canonical phonemic representations.