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A Statistical Method for the Analysis of Speech Intelligibility Tests.

Hu W, Swanson BA, Heller GZ - PLoS ONE (2015)

Bottom Line: A set of SRT results is typically analyzed with a repeated measures analysis of variance.Confidence intervals for the fitted value curves are obtained by parametric bootstrap.Another advantage of the new method of analysis is that results are stated in terms of differences in percent correct scores, which is more interpretable than results from the traditional analysis.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, Macquarie University, Sydney, NSW, Australia.

ABSTRACT
Speech intelligibility tests are conducted on hearing-impaired people for the purpose of evaluating the performance of a hearing device under varying listening conditions and device settings or algorithms. The speech reception threshold (SRT) is typically defined as the signal-to-noise ratio (SNR) at which a subject scores 50% correct on a speech intelligibility test. An SRT is conventionally measured with an adaptive procedure, in which the SNR of successive sentences is adjusted based on the subject's scores on previous sentences. The SRT can be estimated as the mean of a subset of the SNR levels, or by fitting a psychometric function. A set of SRT results is typically analyzed with a repeated measures analysis of variance. We propose an alternative approach for analysis, a zero-and-one inflated beta regression model, in which an observation is a single sentence score rather than an SRT. A parametrization of the model is defined that allows efficient maximum likelihood estimation of the parameters. Fitted values from this model, when plotted against SNR, are analogous to a mean psychometric function in the traditional approach. Confidence intervals for the fitted value curves are obtained by parametric bootstrap. The proposed approach was applied retrospectively to data from two studies that assessed the speech perception of cochlear implant recipients using different sound processing algorithms under different listening conditions. The proposed approach yielded mean SRTs for each condition that were consistent with the traditional approach, but were more informative. It provided the mean psychometric curve of each condition, revealing differences in slope, i.e. differential performance at different parts of the SNR spectrum. Another advantage of the new method of analysis is that results are stated in terms of differences in percent correct scores, which is more interpretable than results from the traditional analysis.

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Related in: MedlinePlus

Study Two: Fitted overall means of percent correct.
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pone.0132409.g006: Study Two: Fitted overall means of percent correct.

Mentions: Parameter estimates for the modeling of μ, σ, ν and τ are given in Table 5. No covariates were significant for σ. Fig 6 shows the fitted overall means of percent correct, i.e. the mean psychometric functions for the six algorithms. All curves appear to have the same slope. A horizontal line at 50% correct intercepts each psychometric function at an SNR equal to its SRT, illustrating the 4.6 dB SRT improvement of SpZ+3 over Beam, as found in the traditional approach.


A Statistical Method for the Analysis of Speech Intelligibility Tests.

Hu W, Swanson BA, Heller GZ - PLoS ONE (2015)

Study Two: Fitted overall means of percent correct.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493151&req=5

pone.0132409.g006: Study Two: Fitted overall means of percent correct.
Mentions: Parameter estimates for the modeling of μ, σ, ν and τ are given in Table 5. No covariates were significant for σ. Fig 6 shows the fitted overall means of percent correct, i.e. the mean psychometric functions for the six algorithms. All curves appear to have the same slope. A horizontal line at 50% correct intercepts each psychometric function at an SNR equal to its SRT, illustrating the 4.6 dB SRT improvement of SpZ+3 over Beam, as found in the traditional approach.

Bottom Line: A set of SRT results is typically analyzed with a repeated measures analysis of variance.Confidence intervals for the fitted value curves are obtained by parametric bootstrap.Another advantage of the new method of analysis is that results are stated in terms of differences in percent correct scores, which is more interpretable than results from the traditional analysis.

View Article: PubMed Central - PubMed

Affiliation: Department of Statistics, Macquarie University, Sydney, NSW, Australia.

ABSTRACT
Speech intelligibility tests are conducted on hearing-impaired people for the purpose of evaluating the performance of a hearing device under varying listening conditions and device settings or algorithms. The speech reception threshold (SRT) is typically defined as the signal-to-noise ratio (SNR) at which a subject scores 50% correct on a speech intelligibility test. An SRT is conventionally measured with an adaptive procedure, in which the SNR of successive sentences is adjusted based on the subject's scores on previous sentences. The SRT can be estimated as the mean of a subset of the SNR levels, or by fitting a psychometric function. A set of SRT results is typically analyzed with a repeated measures analysis of variance. We propose an alternative approach for analysis, a zero-and-one inflated beta regression model, in which an observation is a single sentence score rather than an SRT. A parametrization of the model is defined that allows efficient maximum likelihood estimation of the parameters. Fitted values from this model, when plotted against SNR, are analogous to a mean psychometric function in the traditional approach. Confidence intervals for the fitted value curves are obtained by parametric bootstrap. The proposed approach was applied retrospectively to data from two studies that assessed the speech perception of cochlear implant recipients using different sound processing algorithms under different listening conditions. The proposed approach yielded mean SRTs for each condition that were consistent with the traditional approach, but were more informative. It provided the mean psychometric curve of each condition, revealing differences in slope, i.e. differential performance at different parts of the SNR spectrum. Another advantage of the new method of analysis is that results are stated in terms of differences in percent correct scores, which is more interpretable than results from the traditional analysis.

No MeSH data available.


Related in: MedlinePlus