Journal article
Reliability of calculating the cepstral peak without linear regression analysis
Journal of voice, v 18(2), pp 203-208
01 Jun 2004
PMID: 15193653
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Measures of cepstral peak prominence, using the smoothing algorithm and linear regression analysis software developed by Hillenbrand, have been shown to be reliable predictors of dysphonia in voice samples.
1–4 Recently, the Computerized Speech Laboratory [(CSL) Kay Elemetrics, Pinebrook, New Jersey] has introduced cepstral analysis as a component of that software package. The cepstral peak, in this instance, is calculated by the voice clinician analyzing the phonatory sample by subtracting the value of the peak from the apparent baseline signal. This study compares the ability of cepstral peak values calculated from the CSL software to predict dysphonia reliably with that of the values produced by the smoothing algorithm and linear regression analysis of Hillenbrand. The results of this study show that linear regression analysis is an important step in calculating the cepstral peak prominence, thus limiting the usefulness of software programs that do not employ this step.
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Details
- Title
- Reliability of calculating the cepstral peak without linear regression analysis
- Creators
- Yolanda D. Heman-Ackah - Thomas Jefferson University
- Publication Details
- Journal of voice, v 18(2), pp 203-208
- Publisher
- Mosby, Inc
- Number of pages
- 6
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Otolaryngology (and Head and Neck Surgery)
- Web of Science ID
- WOS:000222279600005
- Scopus ID
- 2-s2.0-2942519882
- Other Identifier
- 991021931774904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Audiology & Speech-language Pathology
- Otorhinolaryngology