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COMPARISON OF ACOUSTIC MEASURES IN DISCRIMINATING BETWEEN THOSE WITH FRIEDREICH'S ATAXIA AND NEUROLOGICALLY NORMAL PEERS.
| Title: | COMPARISON OF ACOUSTIC MEASURES IN DISCRIMINATING BETWEEN THOSE WITH FRIEDREICH'S ATAXIA AND NEUROLOGICALLY NORMAL PEERS. |
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| Name(s): |
Luna-Webb, Sophia, Author Carson, Cecyle, Committee Chair University of Central Florida, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 2015 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | Background: Technological advancements in speech acoustic analysis have led to the development of spectral/cepstral analyses due to questions regarding the validity of traditional time-based measures (i.e., Jitter, Shimmer, and Harmonics-to-Noise-Ratio) in objectifying perturbations in dysphonic voices. Aim: This study investigated the validity of time-based measures in discriminating those with Friedreich's ataxia (FA) from normal voiced (NV) peers when compared to cepstral-spectral measures. Method: A total of 120 sustained vowel phonations from an existing database of 40 participants (20 FA; 20 NV) of the vowels /Q/, /i/, and /o/ were analyzed to determine which set of variables (i.e., time-based vs. cepstral-spectral) better predicted group membership. Four variables of time-based measures (Jitter Local %, Jitter RAP, Shimmer Local %, Shimmer APQ11, and HNR) were analyzed via the freeware program PRAAT and compared to four cepstral-spectral measures (Cepstral Peak Prominence, Cepstral Peak Prominence Standard Deviation, Low/High Ratio Standard Deviation, and the Cepstral/ Spectral Index of Dysphonia) extracted from the Analysis of Dysphonia in Speech and Voice (ADSV) software program. Results: Findings from a discriminant analysis showed sensitivity and specificity results to be better for ADSV measures; 100% of those in the FA group were classified correctly (sensitivity), and 95% of members in the NV group were correctly identified (specificity) as compared to PRAAT (70% sensitivity and 85% specificity). Conclusions: Cepstral-spectral measures are much more accurate in discriminating between those with FA and NV peers as compared to time-based estimates. | |
| Identifier: | CFH0004824 (IID), ucf:45463 (fedora) | |
| Note(s): |
2015-05-01 B.A. Health and Public Affairs, Dept. of Communication Sciences and Disorders Bachelors This record was generated from author submitted information. |
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| Subject(s): |
acoustic measures Friedreich’s ataxia acoustic analysis time-based measures cepstral-spectral measures dysphonia |
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| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFH0004824 | |
| Restrictions on Access: | campus 2020-04-01 | |
| Host Institution: | UCF |
