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This course was not originally listed in the Spring CU listing of classes.

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Course Announcement:  
		ECEN 5012  Speech Processing & Recognition
	        
Time and Place: Mon.Wed.Fri. 2:00  Engineering EE-1B73 
Professor:      John Hansen  (Electrical Engineering) 

This is an interdisciplinary course which provides an introduction to the 
analysis, modeling, and recognition of speech signals. Topics covered include: 
fundamentals of speech science, acoustic-phonetics, discrete-time linear 
predictive (LPC) models, short-term analysis of speech signals, voice coding 
methods (CELP, GSM), speech recognition principles (hidden Markov models), 
and special topics in human-computer interaction. We focus on a number of
robustness issues in speech recognition that include noise, communication
and wireless channel effects, microphone issues, speaker variability issues
due to accent, emotion, Lombard effect, stress. In addition to lectures,
students will work on a term project in speech processing of their choice,
with a final presentation at the end of the term (in place of the final exam).
Summary write-ups of student projects from last year can be found at the 
following web site: http://cslr.colorado.edu/classes/ECEN5022/Spg00_projs.htm

Textbook:
J.R. Deller, J.H.L. Hansen, and J. Proakis, "Discrete-Time Processing of 
Speech Signals, IEEE Press, 2nd Edition, 2000.
http://www.ieee.org/organizations/pubs/press/ 

Prerequisites: Graduate standing, and one introductory course in basic linear
systems or digital signal processing.

Human Language Technology (HLT) Certificate:
This course counts as one of the core courses towards the interdisciplinary
HLT Certificate, which was approved in 2000 by the following departments: 
Electrical Engineering, Computer Science, Linguistics, and 
Speech-Language-and-Hearing Sciences.


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Note: This course was taught last year as ECEN-5022 Speech Processing & Recognition.
Further information can be found at:
		http://cslr.colorado.edu/classes/ECEN5022/

A summary of class projects from last year can be found at:
		http://cslr.colorado.edu/classes/ECEN5022/Spg00_projs.htm



For additional information about the course, contact: 
John Hansen (jhlh@cslr.colorado.edu) 

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John H.L. Hansen, Associate Director
CSLR: Center for Spoken Language Research
RSPL: Robust Speech Processing Laboratory
University of Colorado Boulder, Campus Box 594
(3215 Marine St. for express mail)
Boulder, Colorado 80309-0594      U.S.A.
Phone: 303-735-5148     email: jhlh@cslr.colorado.edu
FAX:   303-735-5072     web: http://cslr.colorado.edu/rspl/

John H.L. Hansen, Associate Professor
University of Colorado, Boulder
Associate Editor, IEEE Signal Processing Letters
Dept. of Speech, Language, and Hearing Sciences
Dept. of Electrical & Computer Engineering
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