Speech Processing

Catalog description

Credits 3. 3 Lecture Hours. Speech production and perception (speech apparatus, articulatory/auditory phonetics); mathematical foundations (sampling, filtering, probability, pattern recognition); speech analysis and coding (short-time Fourier analysis, linear prediction, cesptrum); speech recognition (dynamic time warping, hidden Markov models, language models); speech synthesis (front-end, back-end); speech modification (overlap-add, enhancement, voice conversion). Prerequisites: ECEN 314 or equivalent or approval of instructor; basic knowledge of signals and systems, linear algebra, probability and statistics; programming experience in a high-level language is required.