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Dialect pronunciation comparison and spoken word recognition
Martijn Wieling
;
John Nerbonne
In: http://www.martijnwieling.nl/files/cohort.pdf (2007)
Abstract:
Two adaptations of the regular Levenshtein distance algorithm are proposed based on psycholinguistic work on spoken word recognition. The first adaptation is inspired by the Cohort model which assumes that the word-initial part is more important for word recognition than the word-final part. The second adaptation is based on the notion that stressed syllables contain more information and are more important for word recognition than unstressed syllables. The adapted algorithms are evaluated on a large contemporary collection of Dutch dialect material, the Goeman-Taeldeman-Van Reenen-Project (GTRP, collected 1980–1995) and a relatively small Norwegian dataset for which dialect speakers judgments of proximity is available.
Keyword:
Cohort theory
;
Dutch
;
Goeman-Taeldeman-Van Reenen-Project
;
Levenshtein algorithm
;
Spoken Word Recognition
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4403
http://www.martijnwieling.nl/files/cohort.pdf
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