skip to main content

Course Websites

ECE 594 - Mathematical Models of Language

Spring 2021

Official Description

Mathematical models of linguistic structure and their implementation in computational algorithms used in automatic speech understanding and speech synthesis. Statistical and automata-theoretic techniques are studied allowing a quantitative description of acoustic-phonetics, phonology, phonotactics, lexicons, syntax, and semantics. The methods are used to build components of a speech understanding system. Course Information: For 4 hours credit, an extended project is required. Prerequisite: ECE 537.

Related Faculty

Subject Area

Biomedical Imaging, Bioengineering, and Acoustics

Course Director

Description

Mathematical models of linguistic structure and their implementation in computational algorithms used in automatic speech understanding and speech synthesis. Statistical and automata theoretic techniques are studied allowing a quantitative description of acoustic-phonetics, phonology, phonotactics, lexicons, syntax and semantics. Students will use the methods to build components of a speech understanding system.

Notes

Same as LING 594.
For 4 hours credit, an extended project is required.

Detailed Description and Outline

Same as LING 594.
For 4 hours credit, an extended project is required.

Computer Usage

Two classical computer experiments illustrating how modeling techniques capture linguistic structure will be assigned.

Texts

S.E. Levinson, Mathematical Models for Speech Technology, John Wiley and Sons, 2005.
TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Math Models of LanguageB34016OLC0900 - 0950 M W F     Suma Bhat