Date of Award
Spring 1996
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical Engineering
Committee Director
Stephen A. Zahorian
Committee Member
Peter L. Silsbee
Committee Member
Oscar R. Gonzalez
Call Number for Print
Special Collections LD4331.E55 A83
Abstract
A new version of the Visual Speech Articulation Training Aid was implemented which provides real-time visual feedback for speech articulation training. This version was migrated to a Windows Multimedia PC from a previous version which used a Personal Computer (PC) system and additional specialized and expensive custom hardware. This new version will make the system more available to schools and private users. A new method was developed for computing spectral/temporal features which characterize the speech sounds. In addition to the typical frame-based spectral analysis parameters, the new method represents temporal changes of the spectrum with a small number of features. The flexible method implemented can easily be adapted to compute features for a wide range of speech processing tasks. Linguistically-based distinctive features were also investigated as candidate features for the visual display system. Some experimental results are given for vowels using the new system.
Rights
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DOI
10.25777/yt4a-mw88
Recommended Citation
Auberg, Stefan.
"Speech Feature Computation for Visual Speech Articulation Training"
(1996). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/yt4a-mw88
https://digitalcommons.odu.edu/ece_etds/274