Audio Signal Enhancement
Lecturer: Prof. Dr.-Ing. Peter Jax
Type: Master lecture
Course language: English
The textbook "Digital Speech Transmission" is used as lecture notes. It can be lent in the university library or in the Institute.
Full PDF access from RWTH network (VPN may be required from home office) or login via Shiboleth with your TIM account.
All powerpoint slides of the lecture and the problems of the exercise are available for download at RWTHmoodle.
The exam is held orally on 09.03.22. Dates are given by arrangement. Please contact Ms Sedgwick , email@example.com
Pleae note: Please bring along your student ID (BlueCard)!
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
- 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", "Matlab Advanced - Digital Signal Processing", and "Audio Processing Using Python" in experiments which are coordinated with this lecture.
The lecture is based on the book: "Digital Speech Transmission", P. Vary, R. Martin, Wiley 2006.
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.