scholarly journals Reading ability influences native and non-native voice recognition, even for unimpaired readers

2016 ◽  
Vol 139 (1) ◽  
pp. EL6-EL12 ◽  
Author(s):  
Minal A. Kadam ◽  
Adriel John Orena ◽  
Rachel M. Theodore ◽  
Linda Polka
Keyword(s):  
Reading Ability ◽  
Voice Recognition ◽  
Native Voice

Phonological Awareness Screening to Identify At-Risk Readers

1998 ◽  
Vol 29 (2) ◽  
pp. 109-116 ◽  
Author(s):  
Margie Gilbertson ◽  
Ronald K. Bramlett
Keyword(s):  
At Risk ◽  
Phonological Awareness ◽  
Reading Ability ◽  
At Risk Students ◽  
First Grade ◽  
Receptive Vocabulary ◽  
Standardized Assessments ◽  
Cutoff Score ◽  
Invented Spelling ◽  
Reading Measures

The purpose of this study was to investigate informal phonological awareness measures as predictors of first-grade broad reading ability. Subjects were 91 former Head Start students who were administered standardized assessments of cognitive ability and receptive vocabulary, and informal phonological awareness measures during kindergarten and early first grade. Regression analyses indicated that three phonological awareness tasks, Invented Spelling, Categorization, and Blending, were the most predictive of standardized reading measures obtained at the end of first grade. Discriminant analyses indicated that these three phonological awareness tasks correctly identified at-risk students with 92% accuracy. Clinical use of a cutoff score for these measures is suggested, along with general intervention guidelines for practicing clinicians.

Question Wording Effects in the Assessment of Global Self-Esteem

2000 ◽  
Vol 16 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Martin Dunbar ◽  
Graeme Ford ◽  
Kate Hunt ◽  
Geoff Der
Keyword(s):  
Reading Ability ◽  
Factor Model ◽  
Self Esteem ◽  
Reading Scores ◽  
Poor Reading ◽  
Method Effect ◽  
Two Samples ◽  
Positive Item ◽  
Method Effects ◽  
Best Fit

Summary: Marsh (1996) produced evidence that method effects associated with negatively worded items might be responsible for the results of earlier factor analytic studies that reported finding positive and negative self-esteem factors in the Rosenberg Global self-esteem scale ( Rosenberg, 1965 ). He analyzed data collected from children using a 7-item self-esteem measure. This report details attempts to replicate Marsh 's analysis in data collected from two samples of adults who completed the full 10-item Global Self-Esteem (GSE) scale. The results reported here are similar to those given by Marsh in so much as a correlated uniquenesses model produced a superior fit to the data than the simple one factor model (without correlated uniquenesses) or the often reported two factor (positive and negative self-esteem) model. However, whilst Marsh reported that the best fit was produced by allowing negative item uniquenesses to correlate with each other, the model that produced the best fit to these data was one that contained correlated positive item uniquenesses. Supporting his claim that differential responding to negative and positive self-esteem items reflects a method effect associated with reading ability, Marsh also showed that factors associated with negative and positive items were most distinct among children who had poor reading scores. We report a similar effect among a sample of older adults where the correlation between these factors was compared across two groups who were selected according to their scores on a test of verbal reasoning.

The effect of speech idiosyncrasies on voice recognition: Is it a laughing matter?

1997 ◽  
Author(s):  
Craig B. Neely ◽  
Jeffrey R. Wilson ◽  
Brian H. Bornstein
Keyword(s):  
Voice Recognition

Toward speaker independent voice recognition

1982 ◽  
Author(s):  
Gary K. Poock ◽  
Norman D. Schwalm ◽  
Ellen F. Roland
Keyword(s):  
Voice Recognition ◽  
Speaker Independent

Initial validation of voice recognition interpretation methodology

2011 ◽  
Author(s):  
Jeffrey A. Daniels ◽  
Maria J. Amores ◽  
Jennifer Haist ◽  
Susan Chamberlain ◽  
Karianne Bilsky ◽  
...  
Keyword(s):  
Voice Recognition ◽  
Initial Validation

Visual perception and reading ability.

1969 ◽  
Vol 60 (4, Pt.1) ◽  
pp. 294-299 ◽  
Author(s):  
Cheryl Bonsall ◽  
Rhea L. Dornbush
Keyword(s):  
Visual Perception ◽  
Reading Ability

Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

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