CSE 4303 Speech Recognition Programming

Credit Hours: 3

Introduces students to techniques for speech recognition and the integration of ASR in programs, using general speech recognition tools. Covers techniques including feature extraction from speech data, neural networks, Gaussian mixtures, estimate and maximize, data clustering techniques, Viterbi, Hidden Markov Models (HMM), keyword spotting and beam search.
Prerequisite: CSE 2050 or ECE 2552, CSE 2400 or MTH 2401