Fundamentals of Speech Recognition

Catalog description

Course covers the fundamental design principles of automatic speech recognition systems, including speech detection, time alignment and normalization (including dynamic time warping methods), distortion measures, the Hidden Markov Model (HMM), grammar networks and the use of Finite State Network representations. (offered alternate years)