Syllabus - University of Bridgeport

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__________________________University of Bridgeport_________________________
School of Engineering
EE457-11 SPEECH CODING, spring 2008
Syllabus
________________________________________________________________________
Instructor: Dr. B.D. Barkana
Office: Tech 157
Office Hours: 10 am-11am on Tuesday
Classroom: Tech 116 (lecture)
Textbooks:
1. Digital Speech coding for Low bit rate communication systems by A.M. Kondoz,
Wiley 2nd Edition, 2004, ISBN:0-470-87007-9.
2. Audio Signal Processing and Coding by Andreas Spanias, Ted Painter, and
Venkatraman Atti, 2007, Wiley, ISBN: 978-0-471-79147-8.
3. Speech Coding A Computer Laboratory Textbook, Thomas P. Barnwell III, Kambiz
Nayebi, ans Craig H. Richardson, 1996, Wiley, ISBN: 0-471-51692-9.
Helpful Books:
1. Speech Signal Processing, Rabiner,
2. Discrete-Time Speech Signal Processing: Principles and Practice, By Thomas F.
Quatieri, Prentice Hall, 2002 (3rd Edition or later).
Grading:
Project 1
Presentation
Project 2
Final Project
Attendance
: 20% (written version in format of Speech Communication Journal)
: 20% (written version in format of Speech Communication Journal)
: 20% (written version in format of Speech Communication Journal)
: 30% (written version in format of Speech Communication Journal)
: 10%
Cheating and Plagiarism:
No cooperation on graded assignments, projects, and exams will be permitted, except as
specifically stated by the instructor. Any work copied from another source should give
credit to the original author. Any infractions of this policy will be dealt with in the
strictest possible manner.
1
Contents:
1. Introduction
Speech Communication
Speech Coders
Speech coding Standards
2. Quantization (PCM, APCM)
Scalar Quantization
Vector Quantization
Uniform Quantization
Nonuniform Quantization
Adaptive Quantization
{LBG Algorithm}
{Vector Transformation}
Matlab Applications
3. Waveform Coding (ADPCM, DM)
Basic DPCM
Delta Modulation
Matlab Applications
4. Linear Predictive Vocoder
Quantization of LPC Model Parameters
Matlab Applications
5. Waveform Coding
Adaptive-Predictive Coding
Noise feedback Coding
Matlab Applications
6. Subband Coding
Subband Signal Coding
Matlab Applications
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