A Novel Computerized Approach to Constructing Speech Audiometry Materials: Development of a Perceptually Balanced Hebrew Word Recognition Test.
Purpose: The purpose of this study was to introduce and validate a novel computerized approach for constructing equivalent word lists for speech recognition testing and to demonstrate this methodology through the development of consonant–vowel–consonant (CVC) word lists in Hebrew. Method: The study...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 69; no. 7; pp. 3417 - 3437 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Jul2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195295685&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195295685 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jul2026 vid: 69 iid: 7 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 195295685 10.1044/2026_JSLHR-25-00933 ppf: 3417 ppct: 20 formats: fmt: @attributes: type: P size: 1.5MB tig: atl: A Novel Computerized Approach to Constructing Speech Audiometry Materials: Development of a Perceptually Balanced Hebrew Word Recognition Test. aug: au: Horev, Nitza Putter-Katz, Hanna affil: Department of Communication Sciences and Disorders, Faculty of Health Professions, Ono Academic College, Israel. Speech and Hearing Unit, Department of Otolaryngology, Head and Neck Surgery, Tel Aviv Sourasky Medical Center, Israel. su: Noise control Language & languages Computers Analysis of variance Phonetics Pearson correlation (Statistics) Vowels T-test (Statistics) Data analysis Research methodology evaluation Questionnaires Consonants Signal processing Experimental design Speech audiometry Research methodology Statistics One-way analysis of variance Speech perception Hearing levels Calibration Data analysis software Algorithms Transducers Regression analysis sug: subj: Noise control Language & languages Computers Analysis of variance Phonetics Computer and software stores Electronics Stores Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Electronic Computer Manufacturing Computer and peripheral equipment manufacturing Computer, computer peripheral and pre-packaged software merchant wholesalers Semiconductor and other electronic component manufacturing Other Electronic Component Manufacturing Pearson correlation (Statistics) Vowels T-test (Statistics) Data analysis Research methodology evaluation Questionnaires Consonants Signal processing Experimental design Speech audiometry Research methodology Statistics One-way analysis of variance Speech perception Hearing levels Calibration Data analysis software Algorithms Transducers Regression analysis ab: Purpose: The purpose of this study was to introduce and validate a novel computerized approach for constructing equivalent word lists for speech recognition testing and to demonstrate this methodology through the development of consonant–vowel–consonant (CVC) word lists in Hebrew. Method: The study was conducted in three phases. Phase 1 empirically quantified word difficulty (50% recognition threshold in noise) for 275 Hebrew CVC words among 60 normal-hearing listeners. Phase 2 utilized a custom Python optimization algorithm to allocate 200 words into eight 25-word lists and four 50-word sets. The algorithm simultaneously balanced multiple variables, including perceptual difficulty (50% point), phonemic distribution, and word familiarity. Phase 3 empirically validated the lists’ equivalency for speech recognition in quiet among 120 normal-hearing listeners by establishing performance–intensity functions. Results: The optimization algorithm successfully generated balanced lists. Validation analyses of speech recognition scores in quiet (analyses of variances) demonstrated robust interlist equivalency; no statistically significant differences were found among the 25-word lists or 50-word sets at any of the presentation levels tested. The lists exhibited homogeneous psychometric functions (e.g., mean slope of 4.64%/dB for 50-word sets) consistent with international standards. Conclusions: A comprehensive set of Hebrew speech recognition test materials was successfully developed and validated. The novel methodology, integrating empirical difficulty measurement with computational optimization, proved effective. This approach provides a systematic, objective, and replicable model for developing standardized speech recognition tests across diverse languages. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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