Date of Award
Fall 1986
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
First Advisor
Niederjohn, Russell J.
Second Advisor
Doerr, Thomas A.
Third Advisor
Heinen, James A.
Abstract
An exploration of five methods (and variations of these methods) for the estimation of the fundamental frequency of a voiced speech signal corrupted by high levels of additive white Gaussian noise is discussed. The time domain methods explored include the autocorrelation and the cepstrum. The frequency domain methods explored include the evaluation of the magnitude Fourier transform, the autocorrelation of the magnitude Fourier transform, and the harmonic sum spectrum. All methods are evaluated on a fixed window basis and quantitative results are presented for seven signal-to-noise ratios. In addition, this thesis includes a discussion of several issues related to pitch tracking as well as some general conclusions regarding the pitch tracking methods explored.
Recommended Citation
Krubsack, David A., "Comparison of Pitch Tracking Methods for Speech in Additive White Gaussian Noise" (1986). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4946.
https://epublications.marquette.edu/theses/4946