Digital Speech Transmission

Lecturer: Prof. Dr.-Ing. Peter Jax

Contact:Christiane AntweilerSebastian 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 Simone Sedgwick.

Dates

Lecture:

from Thursday, October 13, 2022
08:30 - 10:00
Lecture room 4G

Exercise:

from Thursday, October 20, 2022
10:30 - 11:15
Lecture room 4G

Consultation hours:

Dates will be announced

Exam

Monday, March 20, 2023
12:00-13:30
Lecture room PPS H1

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)!

Inspection:

Dates will be announced

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.

Winter term 2020/21

Lecture:
Participants of the evaluation: 7
Global grade: 1,4
Concept of the lecture: 1,4
Instruction and behaviour: 1,5

DST_WS2021_Vorlesung.pdf