Linguistics 592B - S-Speech Processing

Course topics: fundamentals of Fourier theory and its application to speech signals, parameterization of the speech signal for automatic and human speech recognition, state space models for speech recognition and connections to human language parsing, fundamentals of machine learning applied to supervised learning of sound categories.

Student work: short problem sets and programming exercises, final project.