Informationen für Gasthörende

Informationen für Gasthörende

Zu erwartende TeilnehmerInnenzahl:
18
Zeit:
Termine am Montag, 14.10.2019 14:00 - 16:00, Donnerstag, 17.10.2019 12:00 - 14:00, Montag, 04.11.2019 14:00 - 16:00, Donnerstag, 07.11.2019 12:00 - 14:00, Montag, 11.11.2019, Montag, 18.11.2019 14:00 - 16:00, Donnerstag, 21.11.2019 12:00 - 14:00, Montag, 25.11.2019 14:00 - 16:00, Donnerstag, 28.11.2019 12:00 - 14:00, Montag, 02.12.2019 14:00 - 16:00, Donnerstag, 05.12.2019 12:00 - 14:00 ...(mehr)
Ort: W02 1-156, W01 0-008 (Rechnerraum), W32 1-113
Ort:
W02 1-156
Montag, 14.10.2019 14:00 - 16:00
Donnerstag, 17.10.2019 12:00 - 14:00
Montag, 04.11.2019 14:00 - 16:00
Donnerstag, 07.11.2019 12:00 - 14:00
Montag, 11.11.2019 14:00 - 16:00
Donnerstag, 21.11.2019, Donnerstag, 28.11.2019, Donnerstag, 05.12.2019, Donnerstag, 12.12.2019 12:00 - 14:00
W01 0-008 (Rechnerraum)
Montag, 18.11.2019, Montag, 25.11.2019, Montag, 02.12.2019, Montag, 06.01.2020, Montag, 13.01.2020 14:00 - 16:00
Donnerstag, 16.01.2020 12:00 - 14:00
W32 1-113
Montag, 09.12.2019, Montag, 16.12.2019 14:00 - 16:00
Voraussetzungen:
Basic principles of signal processing (preferably successfully completed the course Signal- und Systemtheorie and/or Blockpraktikum Digitale Signalverarbeitung)
Angaben zum Inhalt:
The students will gain in-depth knowledge on the subjects’ speech and audio processing. The practical 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. content: After reviewing the basic principles of speech processing and statistical signal processing (adaptive filtering, estimation theory), this course covers techniques and underlying algorithms that are essential in many modern-day speech communication and audio processing systems (e.g. mobile phones, hearing aids, headphones): acoustic echo and feedback cancellation, noise reduction, dereverberation, microphone and loudspeaker array processing, active noise control. During the exercises a typical hands-free speech communication or audio processing system is implemented (in Matlab).
Lehrsprache:
englisch
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