LSP at UIUC

CERTIFICATE OF ADVANCED STUDY IN LANGUAGE AND SPEECH PROCESSING AT UIUC

LSP is a multidisciplinary program for doctoral students with an interest in speech and language processing technology. It is open to students who are pursuing a Ph.D. in the Departments of Linguistics, Electrical and Computer Engineering, Computer Science, and the Graduate School of Library and Information Science. By participating in the program, students would earn a Certificate of Advanced Study in Language and Speech Processing, in addition to the Ph.D. that they will earn in their home department. Under the program, students will take courses from a specified list, and work with a program-affiliated faculty member; faculty members affiliated with the program have appointments in one or more of the following departments: Linguistics, Electrical and Computer Engineering, Computer Science, Library and Information Sciences.

In addition to fulfilling the requirements for the Ph.D. degree in their home departments, students in the LSP program must fulfill the following four requirements:

Any student without comparable background must take LING 400 (Introduction to Linguistic Structure).
Every student must take two of the courses from the following list:

LING406 Introduction to Computational Linguistics
LING506 Topics in Computational Linguistics
CS498-CXZ Introduction to Text Information Systems
CS546 Machine Learning in NLP
ECE498RS Special Topics in ECE: Speech Technology
ECE537 Fundamentals of Speech Processing and Recognition
ECE594 Mathematical Models of Language
LIS556 Implement Information Storage and Retrieval

Every student must take at least three, but preferably four courses from the following list. No more than two of these may be courses offered by the same department:

LING401 Intro to General Phonetics
LING402 Tools and Techniques for Speech and Language Processing
LING406 Introduction to Computational Linguistics
LING501 Syntax I
LING502 Phonology I
LING506 Topics in Computational Linguistics
LING507 Formal Semantics I
LING520 Acoustic Phonetics
CS273 Introduction to Theory of Computation
CS446 Machine Learning
CS448 Introduction to Artificial Intelligence
CS473 Combinatorial Algorithms
CS475 Automata, Formal Languages, and Computational Complexity
CS498-CXZ Introduction to Text Information Systems
CS546 Machine Learning in NLP
ECE210 Analog Signal Processing
ECE410 Digital Signal Processing
ECE413 Probability and Statistics (or MATH 461)
ECE498RS Special Topics in ECE: Speech Technology
LIS 590 Self Organizing Information Systems
ECE537 Fundamentals of Speech Processing and Recognition
ECE598ALThe Speech Chain
ECE594 Mathematical Models of Language
ECE593 Information Theory
ECE598NA Pattern Recognition
LIS556 Implement Information Storage and Retrieval

Students must complete a Ph.D. dissertation in their home
department. The topic of the dissertation must be approved by a
faculty member affiliated with the LSP program, and that faculty
member must be on the thesis committee.

ADMISSION

LSP is not a Ph.D. program, so students in the LSP program must first
be admitted to the Ph.D. program in one of the departments listed
above. Students may then indicate their interest in the LSP program by
contacting the LSP Program Chair.

FINANCIAL AID

Financial aid is handled through individual departments, not through
the LSP program.

AFFILIATED FACULTY