Automatic Speech Recognition with Hidden Markov Models

OGI School of Science & Engineering
Beaverton, Oregon, United States

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' Hidden Markov Model-based technology is widely used in today’s speech recognition systems. This course is an introduction to speech recognition using HMM technology. Topics include dynamic time warping, Markov Models and Hidden Markov Models (discrete, semi-continuous, and continuous), vector quantization, Gaussian Mixture Models, the Viterbi search algorithm, the Forward-Backward training algorithm, language modeling, and speech-specific adaptations of HMMs. The course is focused on understanding these fundamental technologies and developing the main components of speech recognition systems. Suggested prerequisite: C programming experience. ...''

Phone:503-748-1121

School Address:

20000 NW Walker Rd
Beaverton, OR 97006
USA

Jobs & Resumes: Beaverton
Houses & Roommates: Beaverton

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