Stud.IP Uni Oldenburg
Universität Oldenburg
16.11.2019 22:19:08
phy696 - Advanced Topics Speech and Audio Processing (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
Modulbezeichnung Advanced Topics Speech and Audio Processing
Modulcode phy696
Kreditpunkte 6.0 KP
Workload 180 h
(Attendance: 56 hrs, Self study: 124 hrs)
Fachbereich/Institut Institut für Physik
Verwendet in Studiengängen
  • Master Engineering Physics (Master) > Schwerpunkt: Acoustics
  • Master Engineering Physics (Master) > Schwerpunkt: Biomedical Physics
Basic principles of signal processing (preferably successfully completed the course Signal- und Systemtheorie and/or Blockpraktikum Digitale Signalverarbeitung)
The students will gain in-depth knowledge on the subjects speech and audio processing. The practice part of the course mediates insight about important properties of the methods treated in a self study approach, while the application and transfer of theoretical concepts to practical applications is gained by implementing algorithms on a computer.
After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algo- rithms that are essential in many modern-day speech com- munication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feed- back cancellation, noise reduction, dereverberation, micro- phone and loudspeaker array processing, active noise con- trol, time-stretching and pitch-shifting, audio restoration. During the exercises a typical hands-free speech communi- cation or audio processing system is implemented (in Matlab).
o o J. Benesty, M. M. Sondhi, Y. Huang: Handbook of Speech Processing, Springer, 2008.
o P. Vary, R. Martin: Digital Speech Transmission, Wiley, 2006.
o P. Loizou: Speech Enhancement: Theory and Practice, CRC Press, 2007.
o S. Vaseghi: Advanced Digital Signal Processing and Noise Reduction, Wiley, 2006.
o U. Zölzer (editor): DAFx Digital Audio Effects, Wiley, 2002.
o S. Haykin: Adaptive Filter Theory, Prentice Hall, 2001.
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul
Aufnahmekapazität Modul unbegrenzt
Modullevel MM (Mastermodul / Master module)
Modulart Wahlpflicht / Elective
Lern-/Lehrform / Type of program VL: 2 SWS, PR: 2 SWS
Vorkenntnisse / Previous knowledge
Prüfung Prüfungszeiten Prüfungsform
Exam or presentation or oral exam or homework or practical report
Lehrveranstaltungsform Vorlesung
SWS 4.00
Angebotsrhythmus SoSe oder WiSe
Workload Präsenzzeit 56 h