Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Kwan, H. K.


Engineering, Electronics and Electrical.




The motivation for investigating spectral analysis methods that are physiologically based is to gain an understanding of how the human auditory system processes speech, so as to be able to design and implement robust, efficient methods of analyzing and representing speech. In this thesis the cochlear filter bank is modeled by a lowpass filter cascaded model. In order to model the effect of a notch in the frequency response approximately one octave below the center frequency a second filter is followed after each notch/resonant filter in the cascaded model. We also employed the genetic algorithms to optimize the filter parameters. The filters in the model are implemented using four-multiply normalized ladder filter form. In this thesis we also explored the ensemble interval histogram (EIH) representation in the speech recognition. This representation models the properties of the post auditory-nerve nuclei in the human auditory system. The simulation results show that the overall recognition rate is increased a little.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .Z526. Source: Masters Abstracts International, Volume: 40-03, page: 0762. Adviser: H. K. Kwan. Thesis (M.A.Sc.)--University of Windsor (Canada), 2001.