Audio Signal Enhancement

Lecturer: Prof. Dr.-Ing. Peter Jax

Contact:Christiane Antweiler, Sebastian Nagel

Type: Master lecture

Credits: 4

Lecture in RWTHonline
Exercise in RWTHonline
Learning room RWTHmoodle
(Registration via RWTHonline)

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 RWTHmoodle.

Dates

In case of changes of dates, regarding the current situation, at the start of the lecture and exercise you will be informed about RWTHmoodle.

Lecture:

from Tuesday, April 7, 2020
08:30 - 10:00
Lecture room 4G

The lecture will take place online from 07.04.2020.
Further information via RWTHmoodle.

Exercise:

from Tuesday, April 7, 2020
10:15 - 11:00
Lecture room 4G

Die Übung findet ab dem 07.04.2020 online statt.
Weitere Informationen dazu über RWTHmoodle.

Consultation hours:

Friday, March 6, 2020
10:00-12:00
Lecture room 4G

Thursday, March 12, 2020
10:00-12:00
Lecture room 4G

Exam:

The exam in WS2019/20 is held orally under reservation on 22.04. and 29.04. from 11-12 and 14-16 o'clock. Dates are given by arrangement. Please contact Ms Sedgwick , sedgwick@iks.rwth-aachen.de

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

Exam SS2020:
Friday, September 4th, 2020

08:30 - 10:00
Lecture room AM (Ro)

Exam duration: 90 minutes

Remarks: The exam is in written form. The date corresponds also to the proof of achievements (Leistungsachweise) in written form.

Resources: Written resources (e.g., lecture notes or books) are not permitted.
A non-programmable calculator is allowed.

Please 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 is based 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 2019

Participants of the evaluation(Lecture/Exercise): 9/5

Lecture: 
Global grade: 1,3
Concept of the lecture: 1,4
Instruction and behaviour: 1,2

Exercise: 
Global grade: 1,4
Concept of the exercise: 1,4
Instruction and behaviour:

ASE_Vorlesung_SS19.pdf
ASE_Uebung_SS19.pdf