Date of Award
Summer 1987
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Electrical and Computer Engineering
First Advisor
Niederjohn, Russell J.
Second Advisor
Josse, Fabien
Third Advisor
Doerr, Thomas A.
Abstract
In this thesis, objective and subjective evaluations of the spectral subtraction method for enhancing speech corrupted by additive white noise are carried out by: 1) error calculations, 2) spectrograms, and 3) subjective listening tests. The experimental parameters consist of different signal-to-noise ratios (-18 to 12dB) and different parameters of the spectral subtraction method. Thirty utterances, which consisted of the combination of five sentences and six people (three male and three female), were used for the experiments. Also, the spectral subtraction algorithm is considered as a preprocessor for speech feature extraction algorithms. Both pitch extraction algorithms and formant extraction algorithms were tested.
Recommended Citation
Lee, Perng-Jyh, "Evaluation of the Spectral Subtraction Method for Speech Enhancement" (1987). Master's Theses (1922-2009) Access restricted to Marquette Campus. 5000.
https://epublications.marquette.edu/theses/5000