A perceptual comparison: Stuttering and nonstuttering children's nonstuttered speech

1983 ◽  
Vol 8 (4) ◽  
pp. 283-290 ◽  
Author(s):  
Carol MacIndoe Krikorian ◽  
Charles M. Runyan
Author(s):  
Sophie Jörg ◽  
Andrew T. Duchowski ◽  
Krzysztof Krejtz ◽  
Anna Niedzielska

2017 ◽  
Vol 17 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Georgina Cosma ◽  
Mike Joy ◽  
Jane Sinclair ◽  
Margarita Andreou ◽  
Dongyong Zhang ◽  
...  

2018 ◽  
Vol 85 ◽  
pp. 62-75 ◽  
Author(s):  
Randolph C. Grace ◽  
Nicola J. Morton ◽  
Matthew D. Ward ◽  
Anna J. Wilson ◽  
Simon Kemp

2016 ◽  
Vol 64 (12) ◽  
pp. 1014-1025
Author(s):  
Sebastià V. Amengual Garí ◽  
Jukka Pätynen ◽  
Tapio Lokki

2012 ◽  
Vol 627 ◽  
pp. 484-488
Author(s):  
Da Li Chen ◽  
Ding Yu Xue ◽  
Yang Quan Chen

In this paper, five nonlinear diffusion models for fabric image denoising are introduced. The advantages and drawbacks of these five models are described through describing their implementation methods. Quantitative and perceptual comparison experiments are given to verify the performance of these methods. Finally some valuable conclusions about denoising performance of these five models are present which is helpful for choosing and using these models in fabric image denoising.


2000 ◽  
Vol 6 (1) ◽  
pp. 52-61 ◽  
Author(s):  
DAVID SCHRETLEN ◽  
GODFREY D. PEARLSON ◽  
JAMES C. ANTHONY ◽  
ELIZABETH H. AYLWARD ◽  
ANN M. AUGUSTINE ◽  
...  

One theory of normal cognitive aging asserts that decreases in simple processing speed mediate the age-related decline of fluid intelligence. Another possibility is that age-related atrophic changes in frontal brain structures undermine the functioning of executive abilities, thereby producing the same decline. In this study, we used principal components analysis to derive a measure of fluid–spatial intelligence in 197 normal adults between 20 and 92 years of age. Measures of perceptual comparison speed, working memory, and executive ability, as well as regional brain volumes based on high resolution magnetic resonance imaging were obtained from a subsample of 112 participants. We then conducted a series of hierarchical multiple regression analyses to test whether (1) the processing speed theory, (2) frontal–executive theory, or (3) some combination of these best accounted for age-related variation in fluid intelligence. The results showed that perceptual comparison speed, executive ability, and frontal lobe volume each made significant contributions to a regression equation that explained 57% of the variance in fluid intelligence. These findings suggest that both the processing speed and frontal–executive theory of cognitive aging are partially correct and complement one another. (JINS, 2000, 6, 52–61.)


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