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10.08.2022 04:33:06
Lecture: 5.04.4586 Advanced Topics Speech and Audio Processing - Details
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General information

Course name Lecture: 5.04.4586 Advanced Topics Speech and Audio Processing
Course number 5.04.4586
Semester Wintersemester 2019/2020
Current number of participants 8
expected number of participants 18
Home institute Institute of Physics
participating institutes Department of Medical Physics and Accoustics
Courses type Lecture in category Teaching
First date Mon., 14.10.2019 14:00 - 16:00, Room: W02 1-156
Type/Form V, Ü
Pre-requisites Basic principles of signal processing (preferably successfully completed the course Signal- und Systemtheorie and/or Blockpraktikum Digitale Signalverarbeitung)
Performance record Exam or presentation or oral exam or homework or practical report
Lehrsprache englisch
ECTS points 6

Course location / Course dates

W02 1-156 Monday. 14.10.19 14:00 - 16:00
Thursday. 17.10.19 12:00 - 14:00
Monday. 04.11.19 14:00 - 16:00
Thursday. 07.11.19 12:00 - 14:00
Monday. 11.11.19 14:00 - 16:00
Thursday. 21.11.19, Thursday. 28.11.19, Thursday. 05.12.19, Thursday. 12.12.19 12:00 - 14:00
W01 0-008 (Rechnerraum) Monday. 18.11.19, Monday. 25.11.19, Monday. 02.12.19, Monday. 06.01.20, Monday. 13.01.20 14:00 - 16:00
Thursday. 16.01.20 12:00 - 14:00
W32 1-113 Monday. 09.12.19, Monday. 16.12.19 14:00 - 16:00

Module assignments


The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical part of the course mediates insight about important properties of the methods treated in a self-study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer.

After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab).

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