Full metadata
Title
Vowel Normalization in Dysarthria
Description
In this study, the Bark transform and Lobanov method were used to normalize vowel formants in speech produced by persons with dysarthria. The computer classification accuracy of these normalized data were then compared to the results of human perceptual classification accuracy of the actual vowels. These results were then analyzed to determine if these techniques correlated with the human data.
Date Created
2013-05
Contributors
- Jones, Hanna Vanessa (Author)
- Liss, Julie (Thesis director)
- Dorman, Michael (Committee member)
- Borrie, Stephanie (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Speech and Hearing Science (Contributor)
- Department of English (Contributor)
- Speech and Hearing Science (Contributor)
Topical Subject
Resource Type
Extent
54 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2012-2013
Handle
https://hdl.handle.net/2286/R.I.17231
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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