Effects of Word Difficulty and Talkers on Monosyllabic Word Recognition Tests

2006 ◽  
Vol 2 (2) ◽  
pp. 102-106 ◽  
Author(s):  
Eun-Ok Kim ◽  
Dukhwan Lim
Keyword(s):  
Word Recognition ◽  
Monosyllabic Word ◽  
Word Difficulty

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).

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.

Phonetically balanced and psychometrically equivalent monosyllabic word lists for word recognition testing in Thai

2015 ◽  
Vol 138 (3) ◽  
pp. 1831-1831
Author(s):  
Sajeerat Poonyaban ◽  
Pasinee Aungsakulchai ◽  
Charturong Tantibundhit ◽  
Chutamanee Onsuwan ◽  
Rattinan Tiravanitchakul ◽  
...  
Keyword(s):  
Word Recognition ◽  
Monosyllabic Word ◽  
Word Lists ◽  
Recognition Testing

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

Effects of Aging on Time-Gated Isolated Word-Recognition Performance

1992 ◽  
Vol 35 (1) ◽  
pp. 234-238 ◽  
Author(s):  
Chie H. Craig
Keyword(s):  
Word Recognition ◽  
Real Time ◽  
Performance Measures ◽  
Recognition Performance ◽  
Future Research ◽  
Monosyllabic Word ◽  
Isolated Word ◽  
Effects Of Aging ◽  
Gating Method ◽  
Time Assessment

This investigation was designed to study real-time isolated monosyllabic word-recognition performance and the feasibility of applying time-gated NU-6 word-recognition test materials for real-time assessment of older listeners. Methods and materials developed in a previous investigation were used to obtain time-gated performance measures from 37 older listeners (mean age=69 years). The older listener performance measures were compared with extant data from 20 normally hearing young adult listeners (mean age=22 years). Specifically, listener confidence and accuracy by gate as well as listener isolation point, confidence at the isolation point, and total acceptance point measures were evaluated. The results show that major events in the real-time understanding process occur at a slower pace among older listeners. The data indicate that the time-gating method has excellent potential for future research among elderly listeners.

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
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