Signal processing is required in various disciplines, speech technology and science among them. On the one hand side hardware and implementation issues will be covered in this course. On the other hand algorithms that extract the essential information of a signal will be considered. Specific topics are:

Digital Signal Processors
Real Time Programming
Feature Extraction and Feature Transforms for Speech, Images and Music
Noise Suppression and Filtering
Linear Discriminant Analysis

Slides

1. Introduction pdf
2. Signal Representations pdf

3. Microphone Arrays pdf

maple script for chapter 3

4. Filtering and Smoothing pdf

maple script for chapter 4

example image

5. Feature Extraction from Images pdf

maple script for chapter 5

test image

6. Feature Extraction from Speech pdf

maple script for chapter 6

7. Basics of Pattern Recognition pdf
8. KL-Transform and Linear Discriminant Analysis pdf
9. Linear Predictive Coding pdf
10. Wiener Filter pdf
11. Spectral Subtraction pdf
All summary slides as used at the beginning of the lecture (version summer 2007) pdf

Exercises
1. Exercise pdf
2. Exercise pdf
Background reading pdf
Data for the exercise au
(Same data in bziped ASCII) dat.bz2
3. Exercise pdf
Bilder: cola.jpg , b1.ppm , b2.ppm
4. Exercise uebung04.pdf
textur01.jpg textur02.jpg textur03.jpg
5. Exercise uebung05.pdf
Beschreibung Buchstabenerkennung
eigentlicher Datensatz
6. Exercise uebung06.pdf
7. Exercise uebung07.pdf
alo.m alo.txt
8. Exercise uebung08.pdf
9. Exercise uebung09.pdf
Phoneme s Phoneme p Phoneme l Phoneme i

Literature

Applied Pattern Recognition
by Dietrich W. R. Paulus, Joachim Hornegger

Vieweg
ISBN: 3528355581

Digitale Sprachsignalverarbeitung
by Peter Vary, Ulrich Heute, Wolfgang Hess, Teubner Verlag
ISBN: 3519061651

Spoken Language Processing
Xuedong Huang, Alex Acero, Hsiao-Wuen Hon, Xuedong Huang, Hsiao-Wuen Hong
Prentice Hall
ISBN: 0130226

Automatische Spracherkennung
Ernst Günter Schukat-Talamazzini Vieweg Verlag
Braunschweig/Wiesbaden 1995
ISBN 3-528-05492-1
Postscript

Other Material:

Exam
oral exam (40 minutes, by appointment); credit points 4,5 for CuK, Mechatronik; 6 for CoLi