Audio Signal Enhancement

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Lecturer: Prof. Dr.-Ing. Peter Jax

Contact: Markus Niermann, Christiane Antweiler

Type: Master lecture

Credits: 4

Campus Lecture
Campus Exercise
Learning room L2P
(Registration via campusOffice)

Course language: English

Material: 
The textbook "Digital Speech Transmission" is used as lecture notes. It can be lent in the university library or in the Institute.

All powerpoint slides of the lecture and the problems of the exercise will be sold during the first lecture as well as by Irina Ronkartz.

These scripts are also available for download at the L²P learning room.

Dates

Lecture:

from Tuesday, April 10, 2018
08:30 - 10:00
Lecture room 4G

Exercise:

from Tuesday, April 10, 2018
10:15 - 11:00
Lecture room 4G

Consultation hours:

Monday, September 3, 2018
11:00 - 12:00

Friday, September 7, 2018
11:00 - 12:00

Lecture room 4G

Exam:

Monday, September 10, 2018
11:00 - 12:30
Lecture room H 218

Process time: 1.5 hours
The exam takes 1.5 hours.

Resources: Written resources (e.g., lecture notes or books) are not permitted. The use of pocket calculators is allowed.

Language: The exam assignments are in English. Answers may be written in English or in German.

Note: Please bring along your student ID (BlueCard)!

The lecture "Audio Signal Enhancement" goes back to the former lecture "Digital Speech Processing II" (summer term 2017). It is thematically related to the lecture "Digital Speech Transmission" (previously: "Digital Speech Processing I") from the winter term, however, they can be taken independently.

The lecture "Audio Signal Enhancement" is amonst others part of the master studies compulsory elective modules

  • Information and Communication Technology: IK.A
  • Computer Engineering: TI.A
  • Biomedical Engineering: BMT.B

or can be chosen as elective modules.

Content

In the lecture "Audio Signal Enhancement" the basic theory of spectral analysis and synthesis systems are introduced. Algorithms for audio signal enhancement are the main topics of this lecture:

  • Filter banks for spectral analysis and synthesis
  • Adaptive Filters
  • Compensation of acoustic echo signals: digital loudspeaking telephone, acoustic human-machine interface
  • Beamforming
  • Single- and multichannel noise reduction: reduction of acoustic noise signals by adaptive filtering, active compensation of acoustic noise, reduction of ambient reverberation
  • Bandwidth extension of speech signals

The aim of this lecture is to teach on the one hand side the fundamental techniques and algorithms of digital speech processing. On the other hand side an overview of the state-of-the-art technology, actual applications and standards is presented. Exercises are offered in the course. Particular topics can be examined at the laboratories "Communications Engineering", "Real-Time Audio Processing", and "Matlab Advanced - Digital Signal Processing" in experiments which are coordinated with this lecture.

The lecture relies on the book: "Digital Speech Transmission", P. Vary, R. Martin, Wiley 2006.

Evaluation

The results of the evaluation of the last years are summarized below. Note: Since the lecture has been renamed in 2018, some evaluations are titled with the previous lecture name Digital Speech Processing II.

Summer term 2017

Participants of the evaluation(Lecture/Exercise): 9/9

Lecture: 
Global grade: 1,3
Conzept of the lecture: 1,3
Instruction and Behaviour: 1,2

Exercise: 
Global grade: 1,3
Conzept of the exercise: 1,4
Instruction and Behaviour: 1,3

ASE_SS18_Vorlesung.pdf
ASE_SS18_Uebung.pdf