Universität des Saarlandes

Spoken Language Systems

   
 

Digital Signal Processing

(replaces Echtzeitdatenverarbeitung I)

Exam:

Monday, 13.09.2010, 14 o'clock

"Großer Hörsaal Chemie", Building C4 3, Room 21

Important: submission deadline for first exercise extended by two days

Online Registration

Suitable for: Dipl. Ing. SET; CuK; Mechatronik; CoLi;

 

Lecturer: Dietrich Klakow

Location: HS -1.03  Building A5 1  

Time: Monday 10:15 - 11:45
Start
s: 19.04.2010

Exercises:

Tutor:

Location:

Time:

Content

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
  4. Filtering and Smoothing pdf
  5. Feature Extraction from Images pdf
  6. Feature Extraction from Speech pdf
  7. Basics of Pattern Recognition pdf
  8. KL-Transform and Linear Discriminant Analysis pdf
  9. Linear Predictive Coding pdf

Script

Matlab tutorial

Exercises

  1. Tutorial
  2. Tutorial
  3. Tutorial
  4. Tutorial
  5. Tutorial
  6. Tutorial
  7. Tutorial
  8. Tutorial
  9. Tutorial
  10. Tutorial
  11. Material

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