CECS 401 Fundamentals of Spoken Language Processing

MCVL Homepage Department of Computer Engineering and Computer Science

Instructor:

Yunxin Zhao
EBW 335
Department of Computer Engineering and Computer Science
University of Missouri-Columbia
Columbia, MO 65211
Phone: 882-3374
E-mail: zhao@cecs.missouri.edu
Office Hours: Wed. 3:30-5:50 PM


Course Outline

This course covers the theory and techniques in spoken language processing, including speech production and perception, speech analysis, enhancement, coding, synthesis, recognition, and language modeling. The course will be focused on statistical models of speech and language, including hidden Markov models, EM algorithm, and a number of newly innovated statistical learning algorithms, which are powerful tools for speech processing and beyond. The state-of-the-art spoken language systems and their applications will also be surveyed.

Students are expected to complete homework assignments, take final exam, review literature, and complete a final project. Class time will be used mainly for lectures by the instructor; students are required to participate in class discussions, present literature reviews and final projects.

Spoken language processing is an important research area in information technology and is multidisciplinary in nature. The proposed course covers a broad spectrum of knowledge in engineering and science and addresses advanced topics in statistical estimation. The course therefore justifies itself for graduate credit. The course prerequisite is background knowledge in introductory level statistics and signal processing and experience in programming and Unix system.

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Final Project Presentation

The final project presentation is scheduled for Friday the 17th at 3:30 PM. Each presentation shall take 12 minutes including questions. The reports must be submitted during the presentation.

The order of the presentations is alphabetical:


Projects

Project 1: Basics of Speech Processing

Project 2: Simple Speech Recognizer

Project 3: DP, EM, and HMM

Final Project


Lecture Notes

These lecture notes are in pdf format. You will need Adobe Acrobat Reader to read them.

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Last  revised: Nov. 5, 1999