Digital Speech Transmission
Lecturer: Prof. Dr.-Ing. Peter Jax
Contact:Christiane Antweiler, Sebastian Nagel
Type: Master lecture
Credits: 4
RWTH Online Lecture
RWTH Online Exercise
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.
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 will be available for download at the RWTHmoodle learning room.
These documents can be purchased on request from Irina Esser.
The first two dates will take place online via Zoom. The dial-in dates will be announced in advance via RWTHmoodle.
The first two dates will take place online via Zoom. The dial-in dates will be announced in advance via RWTHmoodle.
Exam
Thursday, March 17, 2022
09:00-10:30
Grüner Hörsaal Audimax
Exam duration: 90 minutes
Remarks: The exam is in written form. The date corresponds also to the proof of achievements (Leistungsnachweise) 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)!
Due to the Corona pandemic it might be that we have to change it into an online format.
The lecture "Digital Speech Transmission" is amongst others part of the master studies programm "Elektrotechnik, Informationstechnik und Technische Informatik. The formal connection to the module catalogs can be found at RWTHonline.
We recommend the lecture "Audio Signal Enhancement", which takes place in the summer term, for further studies.
Content
The lecture "Digital Speech Transmission" deals with the fundamentals of speech production, hearing, psycho-acoustic aspects and speech coding.
- Spectral transformations
- Stochastic signals and estimation
- Linear prediction
- Quantization
- Speech coding: model-based predictive coding, vocoder, adaptive quantization, adaptive prediction in the time domain, adaptive coding in the frequency domain, subjective speech quality, standards, realization aspects
- Error concealment and soft decision source decoding, reduction of annoying effects due to residual bit errors
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 for 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.
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 I.