Arabic Speech Audiomentry

Alusi, H. A.; Hinchcliffe, R.; Ingham, Bruce; Knight, Jonathan; North, Christopher

doi:10.3109/00206097409071679

Cited by 11 publications

(11 citation statements)

References 12 publications

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“…As expected and as previously reported in the literature, no significant difference in WRS means between right and left ears was observed at any sensation level. 13,[17][18][19][20][23][24][25]27 All the lists provided very similar PI functions as shown in ►Fig. 1A and 1B, and the PBmax of all lists exceeded at Table 2 Word list 1, 2, 3, and 4.…”

Section: Discussionmentioning

confidence: 62%

“…The word lists currently available in the literature lack equal representation of all Arabic consonant phonemes within each list. [23][24][25]27 Therefore, the present study attempted to address these issues by careful design of the lists to include each consonant phoneme only once at the beginning and only once at the end of a word within each list, including less commonly used phonemes such as /ð/, /x/, / /, as well as the glottal stop in Arabic (i.e., Hamza / /). As expected and as previously reported in the literature, no significant difference in WRS means between right and left ears was observed at any sensation level.…”

Section: Discussionmentioning

confidence: 99%

“…These words are labeled by an asterisk ( Ã ) least 96% WRS at 40 dB SL that is consistent with excellent WRS, and agrees with previous studies that reported PBmax being achieved around 30 to 40 dB supra-threshold (dB SL) in normal hearing subjects. [23][24][25]27…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, some of these lists include some words with disyllabic word structures (e.g., CNCNC) or consonant clusters (e.g., CNCC) that can be mispronounced as CNCNC by audiologists in monitored live voice (MLV) testing. 23,24,27 More importantly, many of the currently available word lists in the literature lack equal representation of all Arabic consonant phonemes at the beginning and at the end of the word within each list, especially less commonly used phonemes such as /ð/, /x/, / /. Finally, the glottal stop in Arabic (i.e., Hamza / /) is not represented appropriately at the beginning and at the end of the word in most previous studies.…”

Section: Introductionmentioning

confidence: 99%

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

Najem

Marie

2021

J Am Acad Audiol

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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.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Najem

Marie

2021

J Am Acad Audiol

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“…(7) . There are very few speech tests available in Arabic for audiological assessment (Messouak, 1956;Alusi et al 1974; Ashoor & Prochazka, 1982 (8,9,10) .These tests were developed for speakers of Maghrebin, Iraqi and Saudi Arabic. The major differences in the dialects and vocabularies make it difficult to generalise to other populations in the region (6) .…”

Section: This Curve Represents How An Individual's Hearing Ability Increases With An Increased Intensity Level (6)mentioning

confidence: 99%

Word Recognition Test for Iraqi-Speaking Adults

Ali Ismail Qasim,

Al-Katib,

Hassoun

et al. 2021

Indian Journal of Forensic Medicine & Toxicology

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Objective: to contribute in the development of speech audiometric test in Iraq by using Arabic-Iraqi dialect for measuring word recognition score (WRS).Methods: sixty normal persons aged 40-65 years (30 males and 30 females) divided into six equal groups. After determining hearing thresholds (PTA) determine WRS , each list of 25 words to one group, monaurally in the better ear at several intensities through speech audiometer by using monosyllable Alusi's words lists through monitored live voice (MLV).Results: the normal speech audiometric curves of word recognition test in this study are similar to the normal curves obtained with previous Arabic, European and American monosyllabic word lists in addition to no intelligibility differences between Alusi's monosyllable word half-lists. Conclusion:this study suggests Alusi's monosyllable word lists can be used in Iraqi Arabic-speaking adults to determine WRS.

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Digit Speech Recognition Thresholds (SRT) for Non-Native Speakers of English

et al. 2002

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Although Central Institute for the Deaf (CID) W-1 stimuli are routinely used for speech recognition threshold (SRT) testing, they are not always familiar to new learners of English and often lead to erroneous assessments. To improve test accuracy, alternative stimuli were constructed by pairing familiar English digits. These digit pairs were used to measure SRT for 12 non-native speakers of English and 12 native speakers of English. Results indicate that digit pairs effectively measure SRT for both participant groups; and more importantly, for non-native speakers of English, digit pairs are more accurate than CID W-1 words in measuring the hearing threshold for speech. Digit-pairs have cross-linguistic appeal and should greatly facilitate accurate SRT testing for listeners with minimal exposure to English.

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Arabic Speech Audiomentry

Cited by 11 publications

References 12 publications

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

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

Word Recognition Test for Iraqi-Speaking Adults

Digit Speech Recognition Thresholds (SRT) for Non-Native Speakers of English

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