Psychometrically equivalent mandarin bisyllabic speech discrimination materials spoken by male and female talkers

Nissen, Shawn L.; Harris, Richard W.; Jennings, Lara-Jill; Eggett, Dennis L.; Buck, Holly

doi:10.1080/14992020500147615

Cited by 52 publications

(42 citation statements)

References 32 publications

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“…Martin, Champlin & Perez (2000) reported that speech discrimination scores for subjects with hearing impairment or normal hearing did not seem to be affected by whether the word list had phonetic balance or not. Hence, in terms of its relevance to speech recognition testing, the issue of phonetic balance is still an area of dispute (Nissen, Harris, Jennings, Eggett & Buck, 2005). However, the authors in the current study felt that phonemic balance is important at least for consonants.…”

Section: B Performance-intensity (Pi) Function Testingmentioning

confidence: 61%

Speech Recognition Performance of Adults: A Proposal for a Battery for Telugu

Kumar¹,

Mohanty²

2012

TPLS

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Abstract-Speech audiometry is an essential component of the audiological test battery, as it provides information concerning one's sensitivity to speech stimuli and the understanding of speech at supra-threshold levels. With regard to the history of materials for speech audiometry, different kinds of materials have been developed by several investigators in English and non-English languages. Several such attempts have also been made to develop and standardize materials for speech audiometry in Indian languages. With reference to Telugu (South Indian Dravidian Language) no such material is available for measuring open-set speech recognition score in adults. Telugu is mother tongue of the majority of people of Andhra Pradesh (Southern State of India) which is divided into three regions. Although, the mother tongue of majority of people of Andhra Pradesh is Telugu, some of the most familiar and frequently used words in one region may not be familiar to people belonging to other regions due to dialectal variations. The purpose of this study is to develop speech material in Telugu which can be commonly used to assess speech recognition performance of individuals belonging to three regions. Four lists of bisyllabic words in Telugu were developed and equivalence analysis of difficulty between the word lists was evaluated for three groups (from three regions) of subjects (age range of 18-25 years) with normal hearing. Subsequently, performance intensity (PI) function for each list was also measured for the three groups. The results revealed that there was no significant difference (p<0.05) between scores obtained by three groups for each list and between four lists for each group. The four word lists developed were found to be equally difficult for all the groups. The performance-intensity (PI) function curve showed semi linear function, and the linear portion of the curve indicated an average linear slope showing 4.64%, 4.62%, 4.52% and 4.54% increase in word recognition score per dB for list 1, list 2, list 3 and list 4 respectively and were found be in accordance with the findings of earlier studies. The four lists thus developed were found to have sufficient reliability and validity in assessing speech recognition performance.

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Section: B Performance-intensity (Pi) Function Testingmentioning

confidence: 61%

Speech Recognition Performance of Adults: A Proposal for a Battery for Telugu

Kumar¹,

Mohanty²

2012

TPLS

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“…The performance-SNR psychometric functions were obtained based on the mathematical procedures described by Nissen, Harris, Jennings, Eggett, and Buck (2005). Logistic regression, as shown in Equation 1, was used to obtain the regression slope (b) and regression intercept (a) based on the proportion correct score ( p) at each signal-tonoise presentation level (SNR), for each of the test items from DI-WORD and TONE, and separately for the NF and NS conditions, for all participants.…”

Section: Discussionmentioning

confidence: 99%

Development of Spatial Release From Masking in Mandarin-Speaking Children With Normal Hearing

Yuen

Meng

2014

J Speech Lang Hear Res

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“…retroflex suffix). Please refer to the companion paper in this journal for a more detailed description of the linguistic features of Standard Mandarin (Nissen et al, 2005).…”

Section: Sumariomentioning

confidence: 99%

Psychometrically equivalent trisyllabic words for speech reception threshold testing in Mandarin

Nissen

Harris

Jennings

et al. 2005

International Journal of Audiology

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The aim of this investigation was to develop, digitally record, evaluate, and equate Mandarin trisyllabic words, which could then be used to measure the SRT. A selection of 90 frequently utilized trisyllabic words were digitally recorded by male and female talkers of Standard Mandarin and presented to 20 normally hearing subjects at 13 intensity levels (-10 to 14dB HL) in 2dB increments. Using logistic regression, psychometric functions were then calculated for all words. Twenty-four trisyllabic words with steep psychometric function slopes were selected, and their intensities were digitally adjusted to match the mean subject PTA (3.0 dB HL). The mean slopes for the 24 selected male and female trisyllabic Mandarin Chinese words were 11.3%/dB and 12.1%/dB, respectively. Thus we developed a list of words which were homogeneous with respect to audibility and slope. Digital recordings of the psychometrically equivalent trisyllabic words are available on compact disc.

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Psychometrically equivalent mandarin bisyllabic speech discrimination materials spoken by male and female talkers

Cited by 52 publications

References 32 publications

Speech Recognition Performance of Adults: A Proposal for a Battery for Telugu

Speech Recognition Performance of Adults: A Proposal for a Battery for Telugu

Development of Spatial Release From Masking in Mandarin-Speaking Children With Normal Hearing

Psychometrically equivalent trisyllabic words for speech reception threshold testing in Mandarin

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