The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Arabic monosyllabic word lists to use in the measurement of the word recognition score. Familiar Arabic monosyllabic words were digitally recorded by a native male talker from Jordan who was judged to have a standard Arabic dialect. Twenty native Arabic participants with normal hearing were used as subjects to determine the percentage of correct word recognition for each word at 10 intensity levels ranging from -5 to 40 dB HL in 5 dB increments. The monosyllabic word data were analyzed using logistic regression. The words producing the steepest psychometric function were included in the final word lists. Four lists of 50 words each were created and eight half-lists (25 words each) were created from the four lists. A Chi-square analysis was performed, revealing no statistical differences among the lists and half-lists. The mean monosyllabic psychometric function slopes at 50% for lists and half-lists were 4.8%/dB.

The purpose of this study was to record a set of Mongolian monosyllabic word lists that could be used to obtain a word recognition score. A word list was developed of 190 frequently used monosyllabic words which had been selected by a group of raters. Native male and female Mongolian talkers were utilized to make digital recordings. The 190 words were divided into 10 lists of 19 words. The lists were presented to 20 normally hearing subjects at 10 different intensity levels ranging from -5 to 40 dB HL in 5 dB increments. An S-curve distribution was used to divide the words among three lists based upon the results of the word recognition testing. Word lists were assembled formulating 3 lists of 50 words and 6 half-lists of 25 words using an S-curve distribution. Logistic regression was used to calculate the psychometric functions for each list. The mean psychometric function slopes for the male and female word lists were 6.19%/dB and 5.17%/dB respectively. The 50% threshold was 14.47 dB HL for the final adjusted male and female lists.

The aim of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Taiwan Mandarin bisyllabic word lists to be used for word recognition testing. Frequently used bisyllabic words were selected and digitally recorded by male and female talkers of Taiwan Mandarin. Twenty normally hearing subjects were presented each word to find the percentage of words which they could correctly recognize. Each word was measured at 10 intensity levels (-5 to 40 dB HL) in increments of 5 dB. Logistic regression was used to include 200 words with the steepest logistic regression slopes in four psychometrically equivalent word lists of 50 words each with eight half-lists of 25 words each. Digital recordings of the psychometrically equivalent bisyllabic word recognition lists are available on compact disc.

The purpose of this study was to create psychometrically equivalent word lists in the language of Cantonese for word recognition testing. Frequently used bisyllabic Cantonese words were recorded by a native female and male talker. The word lists were evaluated by administering the word recognition lists to 20 native speakers of Cantonese with normal hearing. Each list was presented at 10 different intensity levels ranging from -5 to 40 dB HL in 5 dB increments. Logistic regression was used to determine the words with the steepest logistic regression slopes. The 200 words with the steepest slopes were then formulated into four lists of 50 words and eight half-lists of 25 words. The mean psychometric slope value at the 50% location for the male talker was 7.5%/dB while the mean slope for the female talker was slightly steeper at 7.6%/dB. The word lists were digitally recorded on compact discs for worldwide use.

In addition to the use of pure-tones for testing hearing, speech signals are highly valuable diagnostic tools for identifying and evaluating hearing impairment. Speech audiometry involves the implementation of such signals in the measurement of hearing acuity. One aspect of speech audiometry involves assessment of the speech recognition threshold (SRT) which evaluates an individual's ability to hear and understand speech. While live speech has been used in the past to assess SRT, recorded materials are preferred and have been shown to be advantageous over live speech. High-quality digitally recorded speech audiometry materials have been available in English for some time, but assessment of individuals using speech materials from a language that they do not speak natively has been shown to be both inadequate and inaccurate. Speech audiometry materials have recently become available in many languages. Currently, however, there are no known published recordings for assessment of SRT in the Tagalog language. The goal of this study was to develop psychometrically equivalent speech audiometry materials for measuring speech recognition threshold in Tagalog. During this study Tagalog words were initially recorded by a native speaker selected for accent and vocal quality. The words were reduced down to 90 words to be evaluated in the study. Each of the 90 trisyllabic words were evaluated at 2 dB increments from -10 to 16 dB HL by 20 native Tagalog speakers, all having normal hearing. Based on the results, 34 trisyllabic Tagalog words were selected based on their familiarity to native listeners, relative homogeneity with regards to audibility and psychometric function slope. Each word was then adjusted to make the 50% performance threshold equal to the mean PTA of the 20 research participants (4.3 dB HL). The final edited words were then digitally recorded onto compact disc for distribution and for use in assessing SRT in native Tagalog speakers worldwide.