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.

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).

Phonemically Balanced Arabic Monosyllabic Word Lists for Speech Audiometry Testing in Jordan

2021 ◽  
Author(s):  
Fadi Najem ◽  
Basem Marie
Keyword(s):  
Arab Countries ◽  
Repeated Measure ◽  
Intensity Level ◽  
Monosyllabic Word ◽  
Cross Sectional ◽  
Jordanian Arabic ◽  
Significant Difference ◽  
Word Lists ◽  
Intensity Functions ◽  
Arabic Speaking

Abstract Background Many of the Arabic monosyllabic word lists that are currently available in the literature have some limitations and drawbacks. Some of these available lists include word structures that are not consonant-nucleus-consonant (CNC) such as cluster and disyllabic word structures. Other lists have poor phonetic or phonemic distribution balance and do not represent some phoneme appropriately in each list. Purpose The purpose of the present study is to create and validate eight digitally recorded lists of phonemically balanced CNC words that represent all Arabic phonemes, to be used in the evaluation of word recognition score (WRS) of Jordanian Arabic-speaking adults. These lists should be easily adapted by other Arab countries because of the simplicity of the words, and the balanced inclusion of all the Arabic phonemes. Research Design The present study is a prospective cross-sectional study. Study Sample Thirty-one (23 females, 8 males) normal hearing and healthy young adults (18–29 years old) participated in the present study. All participants were native speakers of Jordanian Arabic and had no history of ear disease or surgery. Lists The authors created all possible combinations of Arabic CNC words, and then created eight phonemically balanced lists with 26 words in each list. Each consonant was presented only once at the beginning of a word and once at the end of a word in each list. The lists were recorded using a Jordanian male voice and the intensity of each word was digitally calibrated. Data Collection and Analysis The pure tone average (PTA) of 0.5, 1, 2, 4 kHz was calculated for each participant, and the WRS was obtained for each intensity level in the range of –10 to 55 dB SL (ref. PTA) in 5 dB steps. Results No significant difference between right and left ear WRS was found at any intensity level. The WRSs from both ears were averaged and used in the repeated measure analysis of variance. Performance-intensity functions for all the lists showed some small but statistically significant differences between lists. However, none of these differences were clinically significant (<4%). All the lists showed WRS exceeding 96% at 40 dB SL, and none of the lists showed statistically significant improvement in WRS beyond 40 dB SL. Conclusion The present study provides eight lists of recorded and calibrated CNC word lists. The obtained PI functions showed that these lists are suitable for Jordanian Arabic speaking adults. These lists can be easily generalized to other Arab countries after conducting the required follow-up research.

scholarly journals The Development of a Paediatric Phoneme Discrimination Test for Arabic Phonemic Contrasts

2021 ◽  
Vol 11 (2) ◽  
pp. 150-166
Author(s):  
Hanin Rayes ◽  
Ghada Al-Malky ◽  
Deborah Vickers
Keyword(s):  
Closed Set ◽  
Retest Reliability ◽  
Response Options ◽  
Phoneme Discrimination ◽  
Significant Difference ◽  
Age Appropriate ◽  
Hearing Children ◽  
Test Retest Reliability ◽  
Development And Validation ◽  
Arabic Speaking

Objective: The aim of this project was to develop the Arabic CAPT (A-CAPT), a Standard Arabic version of the CHEAR auditory perception test (CAPT) that assesses consonant perception ability in children. Method: This closed-set test was evaluated with normal-hearing children aged 5 to 11 years. Development and validation of the speech materials were accomplished in two experimental phases. Twenty-six children participated in phase I, where the test materials were piloted to ensure that the selected words were age appropriate and that the form of Arabic used was familiar to the children. Sixteen children participated in phase II where test–retest reliability, age effects, and critical differences were measured. A computerized implementation was used to present stimuli and collect responses. Children selected one of four response options displayed on a screen for each trial. Results: Two lists of 32 words were developed with two levels of difficulty, easy and hard. Assessment of test–retest reliability for the final version of the lists showed a strong agreement. A within-subject ANOVA showed no significant difference between test and retest sessions. Performance improved with increasing age. Critical difference values were similar to the British English version of the CAPT. Conclusions: The A-CAPT is an appropriate speech perception test for assessing Arabic-speaking children as young as 5 years old. This test can reliably assess consonant perception ability and monitor changes over time or after an intervention.

scholarly journals Psychometric Characteristics of Spanish Monosyllabic, Bisyllabic, and Trisyllabic Words for Use in Word-Recognition Protocols

2020 ◽  
Vol 31 (07) ◽  
pp. 531-546
Author(s):  
Mitzarie A. Carlo ◽  
Richard H. Wilson ◽  
Albert Villanueva-Reyes
Keyword(s):  
Word Recognition ◽  
Recognition Performance ◽  
Normal Hearing ◽  
Current Data ◽  
Hearing Level ◽  
Psychometric Characteristics ◽  
Plural Form ◽  
Individual Word ◽  
The Mean ◽  
The Individual

Abstract Background English materials for speech audiometry are well established. In Spanish, speech-recognition materials are not standardized with monosyllables, bisyllables, and trisyllables used in word-recognition protocols. Purpose This study aimed to establish the psychometric characteristics of common Spanish monosyllabic, bisyllabic, and trisyllabic words for potential use in word-recognition procedures. Research Design Prospective descriptive study. Study Sample Eighteen adult Puerto Ricans (M = 25.6 years) with normal hearing [M = 7.8-dB hearing level (HL) pure-tone average] were recruited for two experiments. Data Collection and Analyses A digital recording of 575 Spanish words was created (139 monosyllables, 359 bisyllables, and 77 trisyllables), incorporating materials from a variety of Spanish word-recognition lists. Experiment 1 (n = 6) used 25 randomly selected words from each of the three syllabic categories to estimate the presentation level ranges needed to obtain recognition performances over the 10 to 90% range. In Experiment 2 (n = 12) the 575 words were presented over five 1-hour sessions using presentation levels from 0- to 30-dB HL in 5-dB steps (monosyllables), 0- to 25-dB HL in 5-dB steps (bisyllables), and −3- to 17-dB HL in 4-dB steps (trisyllables). The presentation order of both the words and the presentation levels were randomized for each listener. The functions for each listener and each word were fit with polynomial equations from which the 50% points and slopes at the 50% point were calculated. Results The mean 50% points and slopes at 50% were 8.9-dB HL, 4.0%/dB (monosyllables), 6.9-dB HL, 5.1%/dB (bisyllables), and 1.4-dB HL, 6.3%/dB (trisyllables). The Kruskal–Wallis test with Mann–Whitney U post-hoc analysis indicated that the mean 50% points and slopes at the 50% points of the individual word functions were significantly different among the syllabic categories. Although significant differences were observed among the syllabic categories, substantial overlap was noted in the individual word functions, indicating that the psychometric characteristics of the words were not dictated exclusively by the syllabic number. Influences associated with word difficulty, word familiarity, singular and plural form words, phonetic stress patterns, and gender word patterns also were evaluated. Conclusion The main finding was the direct relation between the number of syllables in a word and word-recognition performance. In general, words with more syllables were more easily recognized; there were, however, exceptions. The current data from young adults with normal hearing established the psychometric characteristics of the 575 Spanish words on which the formulation of word lists for both threshold and suprathreshold measures of word-recognition abilities in quiet and in noise and other word-recognition protocols can be based.

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 word lists in Telugu for assessing speech recognition threshold: alternative forms to existing word lists

2016 ◽  
Vol 2 (3) ◽  
pp. 147
Author(s):  
S. B. Rathna Kumar ◽  
Madhu Sudharshan Reddy. B ◽  
Sale Kranthi
Keyword(s):  
Speech Recognition ◽  
Native Speakers ◽  
Recognition Performance ◽  
Word List ◽  
Recognition Score ◽  
Recognition Threshold ◽  
Significant Difference ◽  
Word Lists ◽  
And Performance ◽  
Function Testing

<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">The present study aimed to develop word lists in Telugu for assessing speech recognition threshold which might serve as equivalent and alternative forms to the existing word lists. </span></p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">A total of two word lists were developed using compound words with each list consisting of 25 words. Equivalence analysis and performance-intensity function testing was carried out using two word lists on a total of 75 native speakers of Telugu who were equally divided into three groups.  </span></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">The results revealed that there was no statistically significant difference (p&gt;0.05) in the speech recognition performance between three groups for each word list, and between two word lists for each group. Hence, the two word lists developed were found to be equally difficult for all the groups and can be used interchangeably. The performance-intensity (PI) function curve showed semi-linear function, and the subjects reached the beginning of the plateau at 3 dBSL where they reached more than 90% speech recognition score for two word lists, and reached 100% speech recognition score at 6 dBSL. The 50% speech recognition score which corresponds to SRT was obtained at less than 1.5 dBSL for two word lists suggesting good agreement between PTA and SRT. </span></p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">The findings of the study are similar to the findings of existing word lists in Telugu. Thus the developed word lists in the present study can be considered equivalent and alternative forms to existing word lists in Telugu.</span></p>

Frequency Responses of Hearing Aids and Their Effects on the Speech Perception of Hearing-Impaired Subjects

1975 ◽  
Vol 84 (5_suppl) ◽  
pp. 5-5 ◽  
Author(s):  
David Pedeo Pascoe
Keyword(s):  
Hearing Aids ◽  
Hearing Aid ◽  
Word List ◽  
Hearing Impaired ◽  
Hearing Level ◽  
Closed Set ◽  
Frequency Responses ◽  
Significant Difference ◽  
Monosyllabic Words ◽  
Functional Gain

Eight hearing-impaired subjects were tested with a binaural master hearing aid. This aid has “on-the-head” miniature transducers and has an adjustable frequency response. Five frequency responses were used, two of them were defined by their response in a 2-cm3 coupler: 1) uniform coupler gain (UCG), and 2) 6 dB per octave rise (6 dB). The other responses were defined in terms of functional gain (difference between unaided and aided thresholds): 3) uniform functional gain (UFG); 4) uniform hearing level (UHL); and 5) a simulation of a commercial hearing aid (AS). A significant difference between coupler and functional gain was seen. Discrimination was tested with a special closed-set word list which includes fifty monosyllabic words with a high percentage of voiceless phonemes. Discrimination scores were consistently better with the UHL response. The lowest scores were obtained with the AS response. The average difference in scores between these two responses was 18.4%. Further testing replicated these results and also compared the effects of a different type of word list phonetically balanced (PB); with these lists, the above-mentioned difference in scores was smaller in quiet (5.9%) but larger in noise (20.9%).

scholarly journals Recording and Evaluation of an American Dialect Version of the Four Alternative Auditory Feature Test

2014 ◽  
Vol 25 (08) ◽  
pp. 737-745 ◽  
Author(s):  
Jingjing Xu ◽  
Robyn M. Cox
Keyword(s):  
Native American ◽  
Speech Recognition ◽  
Validation Study ◽  
American English ◽  
The United States ◽  
Sigmoid Function ◽  
Closed Set ◽  
Retest Reliability ◽  
Auditory Feature ◽  
Test Retest Reliability

Background: The Four Alternative Auditory Feature test (FAAF) is a word-based closed-set speech recognition test. Because the original test materials were recorded in British English dialect, it is not appropriate for use in the United States. Purpose: The purpose of this study was to produce an American dialect FAAF (AFAAF). Research Design: The AFAAF materials spoken by a native American-English speaking male were recorded and digitally edited. In the validation study, the AFAAF was administered monaurally at five signal-to-noise ratios (SNRs) in both ears for each listener. Study Sample: A total of 20 young adults with normal hearing participated in the validation study. Data Collection and Analysis: For each participant, speech recognition scores were collected in one session. The speech level was fixed at 70 dB SPL and the steady-state talker-matched noise level was varied, resulting in five SNRs from –15 to –5 dB. One full list (80 words) was used for each SNR. For each participant, a performance-intensity (PI) function was fit to the discrete mean percent correct scores for the five SNRs according to a best-fit, three-parameter sigmoid function. In addition, scores for the left and right ears were compared to examine test-retest reliability. Results: Results show that the slope of the PI function is 6% per dB, the mean test-retest difference scores for the five SNRs are within 3 rationalized arcsine units (rau), and the 95% critical difference for the 80-word scores is 12 rau. Compared with the FAAF, the slope of the PI function for the AFAAF is slightly less steep. Test-retest reliability of the AFAAF is at least equal to that of the FAAF. Conclusions: It is concluded that the AFAAF is similar but not identical to the FAAF. The AFAAF is now available for measuring speech recognition performance in listeners who use American English as a native language.

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