Time Schedule:
Marc Brennan
SPHSC 525
Seattle Campus
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
