Veranstaltung
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Veranstaltung
Semester:
Wintersemester
2021
5.04.4586 Advanced Topics Speech and Audio Processing -
Veranstaltungstermin | Raum
- Montag, 18.10.2021 14:00 - 16:00
- Donnerstag, 21.10.2021 10:00 - 12:00
- Montag, 25.10.2021 14:00 - 16:00
- Donnerstag, 28.10.2021 10:00 - 12:00
- Montag, 1.11.2021 14:00 - 16:00
- Donnerstag, 4.11.2021 10:00 - 12:00
- Montag, 8.11.2021 14:00 - 16:00
- Donnerstag, 11.11.2021 10:00 - 12:00
- Montag, 15.11.2021 14:00 - 16:00
- Donnerstag, 18.11.2021 10:00 - 12:00
- Montag, 22.11.2021 14:00 - 16:00
- Donnerstag, 25.11.2021 10:00 - 12:00
- Montag, 29.11.2021 14:00 - 16:00
- Donnerstag, 2.12.2021 10:00 - 12:00
- Montag, 6.12.2021 14:00 - 16:00
- Donnerstag, 9.12.2021 10:00 - 12:00
- Montag, 13.12.2021 14:00 - 16:00
- Donnerstag, 16.12.2021 10:00 - 12:00
- Montag, 20.12.2021 14:00 - 16:00
- Donnerstag, 6.1.2022 10:00 - 12:00
- Montag, 10.1.2022 14:00 - 16:00
- Donnerstag, 13.1.2022 10:00 - 12:00
- Montag, 17.1.2022 14:00 - 16:00
- Donnerstag, 20.1.2022 10:00 - 12:00
- Montag, 24.1.2022 14:00 - 16:00
- Donnerstag, 27.1.2022 10:00 - 12:00
- Montag, 31.1.2022 14:00 - 16:00
- Donnerstag, 3.2.2022 10:00 - 12:00
Beschreibung
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
TutorIn
Studienbereiche
- 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).