Date of Award
Fall 1976
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
First Advisor
Niederjohn, Russell J.
Second Advisor
Wu, Sherman H.
Third Advisor
Horgan, James D.
Abstract
The development and testing of a speaker independent isolated spoken digit recognition system is described. The technique used involves contour analysis of both voicing and friction. The speech waveform is filtered and rectified to obtain the voicing and friction contours. An approximate frequency contour is obtained by utilizing a measure of the zero-crossing counts. By analysis of the voicing, friction, and zero-crossing contours a decision is made as to which digit was spoken. The sampling, storage, and analysis are all performed in real-time with a small minicomputer and a simple system of hardware circuits. The simple hardware circuits and small computer make this technique relatively inexpensive to implement as compared to other spoken digit recognition systems.
Recommended Citation
Larsen, Gary W., "Spoken digit Recognition by Voice, Friction, and Zero-Crossing Contour Analysis" (1976). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4970.
https://epublications.marquette.edu/theses/4970