- Prof. Dr. Emanuël Habets
2 cred.h, benoteter certificate, credit: 2/2, ECTS studies, ECTS credits: 2,5, Sprache Englisch
Time and place: Fri 10:15 - 11:45, 3R4.04; comments on time and place: Die Veranstaltung findet im Gebäude des Fraunhofer IIS in Tennenlohe, Am Wolfsmantel 33 statt.
- Fields of study
- WF SIM-DH 6-10 (ECTS-Credits: 2,5)
WF WING-MA 1-4 (ECTS-Credits: 2,5)
WF EEI-MA 1-4 (ECTS-Credits: 2,5)
WPF WING-DH 6-10 (ECTS-Credits: 2,5)
WF SIM-MA 1-4 (ECTS-Credits: 2,5)
WF IuK-MA 1-4 (ECTS-Credits: 2,5)
WPF IuK-MA-MMS-EEI 1-4 (ECTS-Credits: 2,5)
WPF CME-MA ab 2 (ECTS-Credits: 2,5)
- Prerequisites / Organisational information
- Pre-requisites: The minimum pre-requisite for the course are Analysis und Lineare Algebra, Signale
und Systeme I, Signale und Systeme II and Digitale Signalverarbeitung (or equivalent). The course
Sprach- und Audiosignalverarbeitung (by Prof. Kellermann) provides an excellent basis for the Speech
Enhancement course and is therefore highly recommended. Knowledge from Statistische
Signalverarbeitung (Prof. Kellermann) and/or Stochastische Prozesse (by Prof. Kellermann) is highly
Assumed knowledge: It is essential that you are familiar with the sampling theorem, the discrete
Fourier transform, random signals, auto- and cross-correlation and frame-by-frame processing.
Students who are not confident in their knowledge from previous signal processing courses (especially
the topics mentioned) are strongly advised to revise their previous course materials as quickly as
possible to avoid difficulties in this course.
- Course Description
We live in a noisy world! In all applications (telecommunications, hands-free communications,
recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is
usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned"
with digital signal processing tools before it is reproduced, transmitted, or stored.
This course is about speech enhancement. Different well known and state-of-the-art methods for noise
reduction and dereverberation, with one or multiple microphones, are discussed.
The goal of this course is to provide a strong foundation for researchers, engineers, and graduate
students who are interested in the problem of signal and speech enhancement.
Relation to other courses
This course is the most advanced course offered by the university on this topic, and serves as an
excellent basis from which to commence research in the area. Various aspects of the course bring
students up to date with the very latest developments in the field, as seen in recent international
conferences and journals. This course builds on Sprach- und Audiosignalverarbeitung (by Prof.
Kellermann), and is well complimented by Mensch-Maschine-Schnittstelle (by Prof. Rabenstein),
Praxis der Audiodatenkompression (Dr. Grill) and Selected Topics in Perceptual Audio Coding (Prof.
Herre), which deal with many other signal processing methods and gives an understanding of human
auditory perception (also a key part of speech enhancement) and speech and audio compression
- ECTS information:
- Speech Enhancement
- Credits: 2,5
- Signals and Systeme I & II
Digital Signal Processing
- Additional information
- Expected participants: 15, Maximale Teilnehmerzahl: 30
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2012/2013:
- Speech Enhancement