The development of Thai monosyllabic word and picture lists applicable to interactive speech audiometry in preschoolers

Hemakom, Apit; Jitwiriyanont, Sujinat; Rugchatjaroen, Anocha; Israsena, Pasin

doi:10.1080/02699206.2020.1830301

Cited by 2 publications

(5 citation statements)

References 8 publications

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“…This should make it easier to compare the results from the ERP methods and conventional methods. Furthermore, existing materials [ 19 , 20 , 51 ] can be conveniently adapted for the ERP methods. Between these two methods, Method 1a used less time per trial while having comparable accuracy to Method 1b.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, this experiment used only one pair of words with a consonant contrast to test the different methods. To cover all the meaningful contrast types in a language, a comprehensive word list [ 19 , 20 , 21 , 58 ] could be included. For example, in Thai, which is a tonal language, the word list should include all vowel and consonant groups with varied tones [ 19 ].…”

Section: Limitationsmentioning

confidence: 99%

“…To cover all the meaningful contrast types in a language, a comprehensive word list [ 19 , 20 , 21 , 58 ] could be included. For example, in Thai, which is a tonal language, the word list should include all vowel and consonant groups with varied tones [ 19 ]. The method could also be further validated with evaluations that are made by audiologists in patients with hearing loss and other associated diseases.…”

Section: Limitationsmentioning

confidence: 99%

“…However, an oddball task that is used to elicit MMN typically uses only one pair of sounds. Word lists that are used to test speech discrimination in Thai usually consist of 20–50 words [ 19 , 20 , 21 ]. For example, the word list that was proposed by Yimtae et al [ 21 ] contained 24 words, the word list that was used by Visessumon [ 20 ] had 21 words, and the word list that was proposed by Hemakom et al [ 19 ] comprised of 45 words.…”

Section: Introductionmentioning

confidence: 99%

“…Word lists that are used to test speech discrimination in Thai usually consist of 20–50 words [ 19 , 20 , 21 ]. For example, the word list that was proposed by Yimtae et al [ 21 ] contained 24 words, the word list that was used by Visessumon [ 20 ] had 21 words, and the word list that was proposed by Hemakom et al [ 19 ] comprised of 45 words. To test speech discrimination using an MMN-based method, the participants would be required to undergo many rounds of oddball tasks with different standard and deviant stimuli which would be time-consuming and repetitive.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Speech Discrimination Assessment Methods Based on Event-Related Potentials (ERP)

Charuthamrong

Israsena

Hemrungrojn

et al. 2022

Sensors

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Speech discrimination is used by audiologists in diagnosing and determining treatment for hearing loss patients. Usually, assessing speech discrimination requires subjective responses. Using electroencephalography (EEG), a method that is based on event-related potentials (ERPs), could provide objective speech discrimination. In this work we proposed a visual-ERP-based method to assess speech discrimination using pictures that represent word meaning. The proposed method was implemented with three strategies, each with different number of pictures and test sequences. Machine learning was adopted to classify between the task conditions based on features that were extracted from EEG signals. The results from the proposed method were compared to that of a similar visual-ERP-based method using letters and a method that is based on the auditory mismatch negativity (MMN) component. The P3 component and the late positive potential (LPP) component were observed in the two visual-ERP-based methods while MMN was observed during the MMN-based method. A total of two out of three strategies of the proposed method, along with the MMN-based method, achieved approximately 80% average classification accuracy by a combination of support vector machine (SVM) and common spatial pattern (CSP). Potentially, these methods could serve as a pre-screening tool to make speech discrimination assessment more accessible, particularly in areas with a shortage of audiologists.

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Section: Discussionmentioning

confidence: 99%