Veranstaltung

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Veranstaltung

Semester: Wintersemester 2024

5.04.4590 Advanced Topics Speech and Audio Processing -  


Veranstaltungstermin | Raum

  • Montag, 14.10.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 17.10.2024 12:00 - 14:00 | W06 0-008
  • Montag, 21.10.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 24.10.2024 12:00 - 14:00 | W06 0-008
  • Montag, 28.10.2024 16:00 - 18:00 | W06 0-008
  • Montag, 4.11.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 7.11.2024 12:00 - 14:00 | W06 0-008
  • Montag, 11.11.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 14.11.2024 12:00 - 14:00 | W06 0-008
  • Montag, 18.11.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 21.11.2024 12:00 - 14:00 | W06 0-008
  • Montag, 25.11.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 28.11.2024 12:00 - 14:00 | W06 0-008
  • Montag, 2.12.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 5.12.2024 12:00 - 14:00 | W06 0-008
  • Montag, 9.12.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 12.12.2024 12:00 - 14:00 | W06 0-008
  • Montag, 16.12.2024 16:00 - 18:00 | W06 0-008
  • Donnerstag, 19.12.2024 12:00 - 14:00 | W06 0-008
  • Montag, 6.1.2025 16:00 - 18:00 | W06 0-008
  • Donnerstag, 9.1.2025 12:00 - 14:00 | W06 0-008
  • Montag, 13.1.2025 16:00 - 18:00 | W06 0-008
  • Donnerstag, 16.1.2025 12:00 - 14:00 | W06 0-008
  • Montag, 20.1.2025 16:00 - 18:00 | W06 0-008
  • Donnerstag, 23.1.2025 12:00 - 14:00 | W06 0-008
  • Montag, 27.1.2025 16:00 - 18:00 | W06 0-008
  • Donnerstag, 30.1.2025 12:00 - 14:00 | W06 0-008

Beschreibung

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).

lecturer

TutorInnen

Studienbereiche

  • Studium generale / Gasthörstudium

SWS
4

Art der Lehre
Ausschließlich Präsenz

Lehrsprache
englisch

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).

(Stand: 20.06.2024)  | 
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