Individual differences in spoken word recognition: Regional dialect variation.

2011 ◽  
Vol 129 (4) ◽  
pp. 2682-2682
Author(s):  
Terrin N. Tamati ◽  
Jaimie L. Gilbert ◽  
David B. Pisoni
Keyword(s):  
Individual Differences ◽  
Word Recognition ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Dialect Variation ◽  
Regional Dialect

Individual differences in executive function affect spoken word recognition

2009 ◽  
Author(s):  
Julie Mercier ◽  
Irina Pivneva ◽  
Corinne Haigh ◽  
Debra A. Titone
Keyword(s):  
Executive Function ◽  
Individual Differences ◽  
Word Recognition ◽  
Spoken Word Recognition ◽  
Spoken Word

Lexical neighborhoods and phonological confusability in cross-dialect word recognition in noise

2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Cynthia G. Clopper ◽  
Janet B. Pierrehumbert ◽  
Terrin N. Tamati
Keyword(s):  
Word Recognition ◽  
Target Word ◽  
Recognition Performance ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Neighborhood Density ◽  
Minimal Pair ◽  
Dialect Variation ◽  
Vowel Recognition ◽  
Stimulus Materials

AbstractLexical neighborhood density is a well-known factor affecting phonological categorization in spoken word recognition. The current study examined the interaction between lexical neighborhood density and dialect variation in spoken word recognition in noise. The stimulus materials were real English words produced in two regional American English dialects. To manipulate lexical neighborhood density, target words were selected so that predicted phonological confusions across dialects resulted in real English words in the word-competitor condition and did not result in real English words in the nonword-competitor condition. Word and vowel recognition performance were more accurate in the nonword-competitor condition than the word-competitor condition for both talker dialects. An examination of the responses to specific vowels revealed the role of dialect variation in eliciting this effect. When the predicted phonological confusions were real lexical neighbors, listeners could respond with either the target word or the confusable minimal pair, and were more likely than expected to produce a minimal pair differing from the target by one vowel. When the predicted phonological confusions were not real words, however, the listeners exhibited less lexical competition and responded with the target word or a minimal pair differing by one consonant.

scholarly journals Investigating Speechreading and Deafness

2010 ◽  
Vol 21 (03) ◽  
pp. 163-168 ◽  
Author(s):  
Edward T. Auer
Keyword(s):  
Individual Differences ◽  
Word Recognition ◽  
Spoken Word Recognition ◽  
Theoretical Framework ◽  
Spoken Word ◽  
Visual Speech ◽  
Sufficient Information ◽  
Successful Communication ◽  
Auditory Word ◽  
Auditory Word Recognition

Background: The visual speech signal can provide sufficient information to support successful communication. However, individual differences in the ability to appreciate that information are large, and relatively little is known about their sources. Purpose: Here a body of research is reviewed regarding the development of a theoretical framework in which to study speechreading and individual differences in that ability. Based on the hypothesis that visual speech is processed via the same perceptual-cognitive machinery as auditory speech, a theoretical framework was developed by adapting a theoretical framework originally developed for auditory spoken word recognition. Conclusion: The evidence to date is consistent with the conclusion that visual spoken word recognition is achieved via a process similar to auditory word recognition provided differences in perceptual similarity are taken into account. Words perceptually similar to many other words and that occur infrequently in the input stream are at a distinct disadvantage within this process. The results to date are also consistent with the conclusion that deaf individuals, regardless of speechreading ability, recognize spoken words via a process similar to individuals with hearing.

scholarly journals Individual differences in online spoken word recognition: Implications for SLI

2010 ◽  
Vol 60 (1) ◽  
pp. 1-39 ◽  
Author(s):  
Bob McMurray ◽  
Vicki M. Samelson ◽  
Sung Hee Lee ◽  
J. Bruce Tomblin
Keyword(s):  
Individual Differences ◽  
Word Recognition ◽  
Spoken Word Recognition ◽  
Spoken Word

Tracking the time course of lexical access in spoken word recognition

1997 ◽  
Author(s):  
Paul D. Allopenna ◽  
James S. Magnuson ◽  
Michael K. Tanenhaus
Keyword(s):  
Word Recognition ◽  
Lexical Access ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Spoken Word
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