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Instructor Class Description

Time Schedule:

Marc Brennan
SPHSC 525
Seattle Campus

Speech Signal Processing

Theory, evaluation, and use of speech signal processing algorithms such as sampling, filtering, spectral analysis, autocorrelation, and speech synthesis. Laboratory assignments develop skills in using signal analysis and synthesis software applied to normal and pathological speech.

Class description

Introduction to MATLAB programming

Student learning goals

Apply signal processing techniques using MATLAB

Apply data processing techniques using MATLAB

Collect and interpret research data using MATLAB

Develop graphical user interfaces using MATLAB

General method of instruction

This class will be more like a lab class. Approximately 1/2 to 3/4 of the instruction time will be devoted to lecture time. The lecture format will be informal. Each day I'll provide background information and relevant commands for that day's topic (e.g. creating variables). Throughout the lecture I will have you problem solve and explore the commands related to the topic of the day. The rest of the time will be devoted to working on homework or your class project.

Recommended preparation

Class assignments and grading


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Marc Brennan
Date: 05/29/2009