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

Abstract

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.