Date of Award

Spring 2002

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Electrical Engineering

Committee Director

Stephen A. Zahorian

Committee Member

Vijayan K. Asari

Committee Member

Ravindra P. Joshi

Call Number for Print

Special Collections LD4331.E55 Z57 2002

Abstract

This thesis discusses work accomplished on the further development of a vowel articulation training aid for persons with hearing impairments. The system produces visual feedback about the quality of articulation for ten American English monophthong vowel phonemes. A large database of vowel recordings has been collected and used to improve and test the recognition rates of artificial neural networks used by the training aid. A maximum-likelihood classifier has been introduced into the system to improve performance by reducing the likelihood of incorrect feedback produced by the displays. A series of experiments has been performed to examine effects of tuning parameters, and of varying the amount and type of speech data used to train the system. Much of the program code for the speech display system has been revised to use a more modular structure, which in turn provides for easier maintenance and testing. Current system features and operational details are discussed in an appendix.

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DOI

10.25777/k8dr-y113

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