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 sold during the first lecture as well as by Irina Ronkartz.

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

Dates

Lecture:

from Thursday, October 29, 2020
08:30 - 10:00
online

Exercise:

from Thursday, October 29, 2020
10:30 - 11:15
online

Consultation hours:

Consultation hour for oral exam on 15th, 16th or 18th of March 2021:
Friday, March 12, 2021
10:00 a.m.
online

Consultation hour for oral exam on 22nd, 24th or 25th of March 2021:
Friday, March 19, 2021
10:00 a.m.
online

Exam

The exam is held orally on 15th, 16th, 18th, 22nd 24th or 25th March 2021. Dates are given by arrangement. Please contact Ms Sedgwick , sedgwick@iks.rwth-aachen.de

Please note: The exam takes place via Zoom in digital form. Please have your student ID (BlueCard) ready.

The lecture "Digital Speech Transmission" is amongst others part of the master studies compulsory elective modules

  • Information and Communication Technology: IK.A
  • Micro- and Nanoelectronics: MN.C
  • Computer Engineering: TI.A
  • Biomedical Engineering: BMT.B

or can be chosen as elective modules.

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 2019/2020

Lecture:
Participants of the evaluation: 11
Global grade: 1,5
Concept of the lecture: 1,6
Instruction and behaviour: 1,5

Exercise:
Participants of the evaluation: 10
Global grade: 1,3
Concept of the exercise: 1,4
Instruction and behaviour: 1,3

DST_WS1920_Vorlesung.pdf
DST_WS1920_Uebung.pdf