Development of a Thai phonetically balanced monosyllabic word recognition test: Derivation of phoneme distribution, word list construction, and response evaluations

2018 ◽  
Vol 103 ◽  
pp. 1-10
Author(s):  
Charturong Tantibundhit ◽  
Chutamanee Onsuwan ◽  
Adirek Munthuli ◽  
Ploypailin Sirimujalin ◽  
Thanaporn Anansiripinyo ◽  
...  
Keyword(s):  
Word Recognition ◽  
Recognition Test ◽  
Word List ◽  
Monosyllabic Word

scholarly journals Development of a Turkish Monosyllabic Word Recognition Test for Adults

2014 ◽  
Vol 10 (2) ◽  
pp. 172-180 ◽  
Author(s):  
Serpil Mungan Durankaya ◽  
Bulent Serbetcioglu ◽  
Gokhan Dalkilic ◽  
Selhan Gurkan ◽  
Gunay Kirkim
Keyword(s):  
Word Recognition ◽  
Recognition Test ◽  
Monosyllabic Word

A Demonstration of Improved Precision of Word Recognition Scores

2014 ◽  
Vol 57 (2) ◽  
pp. 543-555 ◽  
Author(s):  
Robert S. Schlauch ◽  
Elizabeth S. Anderson ◽  
Christophe Micheyl
Keyword(s):  
Hearing Loss ◽  
Word Recognition ◽  
Recognition Test ◽  
List Length ◽  
Pure Tone ◽  
Word List ◽  
Effect Sizes ◽  
Northwestern University ◽  
Resampling Procedure ◽  
Pure Tone Threshold

Purpose The purpose of this study was to demonstrate improved precision of word recognition scores (WRSs) by increasing list length and analyzing phonemic errors. Method Pure-tone thresholds (frequencies between 0.25 and 8.0 kHz) and WRSs were measured in 3 levels of speech-shaped noise (50, 52, and 54 dB HL) for 24 listeners with normal hearing. WRSs were obtained for half-lists and full lists of Northwestern University Test No. 6 (Tillman & Carhart, 1966) words presented at 48 dB HL. A resampling procedure was used to derive dimensionless effect sizes for identifying a change in hearing using the data. This allowed the direct comparison of the magnitude of shifts in WRS (%) and in the average pure-tone threshold (dB), which provided a context for interpreting the WRS. Results WRSs based on a 50-word list analyzed by the percentage of correct phonemes were significantly more sensitive for identifying a change in hearing than the WRSs based on 25-word lists analyzed by percentage of correct words. Conclusion Increasing the number of items that contribute to a WRS significantly increased the test's ability to identify a change in hearing. Clinical and research applications could potentially benefit from a more precise word recognition test, the only basic audiologic measure that estimates directly the distortion component of hearing loss and its effect on communication.

A Comparison of Recognition Performances in Speech-Spectrum Noise by Listeners with Normal Hearing on PB-50, CID W-22, NU–6, W-1 Spondaic Words, and Monosyllabic Digits Spoken by the Same Speaker

2008 ◽  
Vol 19 (06) ◽  
pp. 496-506 ◽  
Author(s):  
Richard H. Wilson ◽  
Rachel McArdle ◽  
Heidi Roberts
Keyword(s):  
Word Recognition ◽  
Repeated Measures ◽  
Recognition Performance ◽  
Normal Hearing ◽  
Psychometric Characteristics ◽  
Monosyllabic Word ◽  
Repeated Measures Design ◽  
Word Lists ◽  
Monosyllabic Words ◽  
Speech Spectrum

Background: So that portions of the classic Miller, Heise, and Lichten (1951) study could be replicated, new recorded versions of the words and digits were made because none of the three common monosyllabic word lists (PAL PB-50, CID W-22, and NU–6) contained the 9 monosyllabic digits (1–10, excluding 7) that were used by Miller et al. It is well established that different psychometric characteristics have been observed for different lists and even for the same materials spoken by different speakers. The decision was made to record four lists of each of the three monosyllabic word sets, the monosyllabic digits not included in the three sets of word lists, and the CID W-1 spondaic words. A professional female speaker with a General American dialect recorded the materials during four recording sessions within a 2-week interval. The recording order of the 582 words was random. Purpose: To determine—on listeners with normal hearing—the psychometric properties of the five speech materials presented in speech-spectrum noise. Research Design: A quasi-experimental, repeated-measures design was used. Study Sample: Twenty-four young adult listeners (M = 23 years) with normal pure-tone thresholds (≤20-dB HL at 250 to 8000 Hz) participated. The participants were university students who were unfamiliar with the test materials. Data Collection and Analysis: The 582 words were presented at four signal-to-noise ratios (SNRs; −7-, −2-, 3-, and 8-dB) in speech-spectrum noise fixed at 72-dB SPL. Although the main metric of interest was the 50% point on the function for each word established with the Spearman-Kärber equation (Finney, 1952), the percentage correct on each word at each SNR was evaluated. The psychometric characteristics of the PB-50, CID W-22, and NU–6 monosyllabic word lists were compared with one another, with the CID W-1 spondaic words, and with the 9 monosyllabic digits. Results: Recognition performance on the four lists within each of the three monosyllabic word materials were equivalent, ±0.4 dB. Likewise, word-recognition performance on the PB-50, W-22, and NU–6 word lists were equivalent, ±0.2 dB. The mean recognition performance at the 50% point with the 36 W-1 spondaic words was ˜6.2 dB lower than the 50% point with the monosyllabic words. Recognition performance on the monosyllabic digits was 1–2 dB better than mean performance on the monosyllabic words. Conclusions: Word-recognition performances on the three sets of materials (PB-50, CID W-22, and NU–6) were equivalent, as were the performances on the four lists that make up each of the three materials. Phonetic/phonemic balance does not appear to be an important consideration in the compilation of word-recognition lists used to evaluate the ability of listeners to understand speech.A companion paper examines the acoustic, phonetic/phonological, and lexical variables that may predict the relative ease or difficulty for which these monosyllable words were recognized in noise (McArdle and Wilson, this issue).

Generating realistic Arabic handwriting dataset

2019 ◽  
Vol 8 (4) ◽  
pp. 460
Author(s):  
Mahmoud I. Abdalla ◽  
Mohsen A. Rashwan ◽  
Mohamed A. Elserafy
Keyword(s):  
Word Recognition ◽  
Word List ◽  
Holistic Approach ◽  
Gaussian Mixture ◽  
Normalization Method ◽  
Gaussian Component ◽  
Efficient System ◽  
Mixture Regression ◽  
Word Generation ◽  
Input Text

During the previous year's holistic approach showing satisfactory results to solve ‎the ‎problem of Arabic handwriting word  recognition instead of word letters ‎‎segmentation.‎ ‎In this paper, we present an efficient system for ‎ generation realistic Arabic handwriting dataset from ASCII input ‎text. We carefully selected simple word list that contains most Arabic ‎letters normal and ligature connection cases. To improve the ‎performance of new letters reproduction we developed our ‎normalization method that adapt its clustering action according to ‎created Arabic letters families. We enhanced  Gaussian Mixture ‎Model process to learn letters template by detecting the ‎number and position of Gaussian component by implementing ‎Ramer-Douglas-Peucker‎ algorithm which improve the new letters ‎shapes reproduced by using and Gaussian Mixture Regression. ‎‎We learn the translation distance between word-part to achieve ‎real handwriting word generation shape.‎ Using combination of LSTM and CTC layer as a recognizer to validate the ‎efficiency of our approach in generating new realistic Arabic handwriting words inherit user handwriting style as shown by the experimental results.‎ 

Pediatric Arabic Closed-Set Word-Recognition Test: Development and Evaluation of Psychometric Characteristics

2021 ◽  
Vol 32 (08) ◽  
pp. 547-554
Author(s):  
Soha N. Garadat ◽  
Ana'am Alkharabsheh ◽  
Nihad A. Almasri ◽  
Abdulrahman Hagr
Keyword(s):  
Speech Recognition ◽  
Word Recognition ◽  
Hearing Level ◽  
Sigmoid Function ◽  
Psychometric Characteristics ◽  
Monosyllabic Word ◽  
Closed Set ◽  
Significant Difference ◽  
Word Lists ◽  
Arabic Speaking

Abstract Background Speech audiometry materials are widely available in many different languages. However, there are no known standardized materials for the assessment of speech recognition in Arabic-speaking children. Purpose The aim of the study was to develop and validate phonetically balanced and psychometrically equivalent monosyllabic word recognition lists for children through a picture identification task. Research Design A prospective repeated-measure design was used. Monosyllabic words were chosen from children's storybooks and were evaluated for familiarity. The selected words were then divided into four phonetically balanced word lists. The final lists were evaluated for homogeneity and equivalency. Study Sample Ten adults and 32 children with normal hearing sensitivity were recruited. Data Collection and Analyses Lists were presented to adult subjects in 5 dB increment from 0 to 60 dB hearing level. Individual data were then fitted using a sigmoid function from which the 50% threshold, slopes at the 50% points, and slopes at the 20 to 80% points were derived to determine list psychometric properties. Lists were next presented to children in two separate sessions to assess their equivalency, validity, and reliability. Data were subjected to a mixed design analysis of variance. Results No statistically significant difference was found among the word lists. Conclusion This study provided an evidence that the monosyllabic word lists had comparable psychometric characteristics and reliability. This supports that the constructed speech corpus is a valid tool that can be used in assessing speech recognition in Arabic-speaking children.

scholarly journals The Use of Orthographic Knowledge in Beginning Reading

1986 ◽  
Vol 18 (3) ◽  
pp. 229-241 ◽  
Author(s):  
Lauren Leslie ◽  
Brenda Thimke
Keyword(s):  
Word Recognition ◽  
Recognition Test ◽  
Second Graders ◽  
Beginning Reading ◽  
Orthographic Knowledge ◽  
Search Tasks ◽  
Recognition Ability ◽  
Word Search ◽  
The Relationship

The purpose of the present study was to determine the relationship between word recognition ability, knowledge of orthographic structures, and use of orthographic knowledge in word recognition. Fifty-six first and second graders were administered a word recognition test, two tests of orthographic knowledge, and two search tasks. The results indicated that when searching for multiple word targets children with word recognition levels of less than 2–2 searched similarly through all fields, whereas children with word recognition levels of 2–2+ searched faster through pseudowords and nonwords than through words. When searching for members of a category, children with word recognition levels below 2–1 searched faster through nonwords and pseudowords than through words providing no evidence for the use of orthography in word search. Children with word recognition levels above 2–1 searched faster through nonwords than through pseudowords and words, demonstrating a generalized effect of orthographic structure.

Sign in / Sign up

Export Citation Format

Share Document