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

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.

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Scharenborg, Odette1, Author           
ten Bosch, L.1, Author
Boves, L.1, Author
Norris, D.2, Author
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1Department of Language and Speech, University of Nijmegen, ou_persistent22              
2Medical Research Council - Cognition and Brain Sciences Unit, Cambridge, United Kingdom, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1121/1.1624065
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Title: Journal of the Acoustical Society of America
Source Genre: Journal
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Publ. Info: New York, etc. : American Institute of Physics for the Acoustical Society of America.
Pages: - Volume / Issue: 114 Sequence Number: - Start / End Page: 3032 - 3035 Identifier: ISSN: 0001-4966
CoNE: https://pure.mpg.de/cone/journals/resource/110975506069643