Automatic Speech Recognition, WS 2010/2011

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Nov. 4, 2010


Here you can find the download material for the lecture. The exercise sheets as well as other documents needed for the solution of the exercises will be made available on this page.

Lecture Notes:

Download lecture notes

For the later exercises you will need a mathematical toolkit, for which we strongly suggest the usage of the public domain toolkit Octave (similar to MatLab). Solutions to the exercises will be given only in Octave code.

You can download Octave and its documentation here.

The RWTH Aachen University Speech Recognition System can be downloaded here.


  • 1. Exercise Sheet (Submission: November, 15th 2010)  
  • 2. Exercise Sheet (Submission: November, 22nd 2010)  
  • 3. Exercise Sheet (Submission: November, 29nd 2010)  
  • 4. Exercise Sheet (Submission: December, 6th 2010)  
  • 5. Exercise Sheet (Submission: December, 13th 2010)  
  • 6. Exercise Sheet (Submission: December, 20th 2010)  
  • 7. Exercise Sheet (Submission: January, 19th 2011)   spoken.txt recognized.txt ref.dat test.dat
  • 8. Exercise Sheet (Submission: January, 24th 2011)   probe1.ascii segmentation.pdf
  • Schedule

    Type Date Room Start Instructor
    V3/4 Mo, 10:00 - 11:30 AH 6 Dr.rer.nat. R. Schlüter, Prof. Dr.-Ing. H. Ney
    Do, 11:45 - 13:15 AH 6 26.10.2010
    Ü2 Mo, 08:15 - 09:45 seminar room i6 08.11.2010 Nussbaum-Thom, Schlüter, Ney


    The aim of automatic speech recognition is to extract the spoken word sequence from the acoustic signal. An automatic speech recognition system consists typically of four parts:

    Applied Computer Science or Field of Specialization.

    4 terms of university (Fachsemester), knowledge of probability theory / statistics

    Language of instruction:



    Dr. Ralf Schlüter Tel. 80-21612
    Markus Nussbaum-Thom Tel. 80-21602

    Office hours: by arrangement

    Oct 2008