Event
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Event
Semester:
Winter term
2020
5.04.4586 Advanced Topics Speech and Audio Processing -
Event date(s) | room
- Montag, 19.10.2020 14:00 - 16:00 | online
- Donnerstag, 22.10.2020 10:00 - 12:00 | online
- Montag, 26.10.2020 14:00 - 16:00 | online
- Donnerstag, 29.10.2020 10:00 - 12:00 | online
- Montag, 2.11.2020 14:00 - 16:00 | online
- Donnerstag, 5.11.2020 10:00 - 12:00 | online
- Montag, 9.11.2020 14:00 - 16:00 | online
- Donnerstag, 12.11.2020 10:00 - 12:00 | online
- Montag, 16.11.2020 14:00 - 16:00 | online
- Donnerstag, 19.11.2020 10:00 - 12:00 | online
- Montag, 23.11.2020 14:00 - 16:00 | online
- Donnerstag, 26.11.2020 10:00 - 12:00 | online
- Montag, 30.11.2020 14:00 - 16:00 | online
- Donnerstag, 3.12.2020 10:00 - 12:00 | online
- Montag, 7.12.2020 14:00 - 16:00 | online
- Donnerstag, 10.12.2020 10:00 - 12:00 | online
- Montag, 14.12.2020 14:00 - 16:00 | online
- Donnerstag, 17.12.2020 10:00 - 12:00 | online
- Montag, 21.12.2020 14:00 - 16:00 | online
- Donnerstag, 7.1.2021 10:00 - 12:00 | online
- Montag, 11.1.2021 14:00 - 16:00 | online
- Donnerstag, 14.1.2021 10:00 - 12:00 | online
- Montag, 18.1.2021 14:00 - 16:00 | online
- Donnerstag, 21.1.2021 10:00 - 12:00 | online
- Montag, 25.1.2021 14:00 - 16:00 | online
- Donnerstag, 28.1.2021 10:00 - 12:00 | online
- Montag, 1.2.2021 14:00 - 16:00 | online
- Donnerstag, 4.2.2021 10:00 - 12:00 | online
Description
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).
lecturer
Tutor
Study fields
- Studium generale / Gasthörstudium
SWS
2
Lehrsprache
englisch
Anzahl der freigegebenen Plätze für Gasthörende
5
Für Gasthörende / Studium generale geöffnet:
Ja
Hinweise zum Inhalt der Veranstaltung für Gasthörende
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).