Publications
Detailed Information
Optimizing Vocabulary Modeling for Dysarthric Speech Recognition
Cited 1 time in
Web of Science
Cited 1 time in Scopus
- Authors
- Issue Date
- 2016-07-15
- Citation
- Proceeding of 15th International Conference on Computers Helping People with Special Needs, pp. 507-510
- Keywords
- Dysarthria ; Vocabulary modeling ; Speech recognition
- Abstract
- Imperfection in articulation of dysarthric speech results in the deterioration on the performance of speech recognition. In this paper, the effect of the articulating class of phonemes in the dysarthric speech recognition results is analyzed using generalized linear mixed models (GLMMs). The model with the features categorized according to the manner of articulation and the place of tongue is selected as the best one by the analysis. Recognition accuracy score for each word is predicted based on its pronunciation and the GLMM. The vocabulary optimized by selecting words with the maximum score shows a 16.4 % relative error reduction in dysarthric speech recognition.
- ISSN
- 0302-9743
- Language
- English
- Files in This Item:
- There are no files associated with this item.
- Appears in Collections:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.