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Vorlesungsverzeichnis >> Technische Fakultät (TF) >>

  Seminar Ausgewählte Kapitel der Multimediakommunikation und Signalverarbeitung (Sem LMS)

Dozentinnen/Dozenten
Alexander Schmidt, M. Sc., Dr.-Ing. Heinrich Löllmann, Akad. ORat, Prof. Dr.-Ing. Walter Kellermann

Angaben
Seminar
2 SWS, benoteter Schein, Anwesenheitspflicht, ECTS-Studium, ECTS-Credits: 2,5
nur Fachstudium, Sprache Englisch
Zeit und Ort: n.V.

Studienfächer / Studienrichtungen
WPF EEI-BA-INT 5-6 (ECTS-Credits: 2,5)
WPF EEI-MA-INT 1-4 (ECTS-Credits: 2,5)
WPF IuK-BA 5-6 (ECTS-Credits: 2,5)
WPF CME-MA ab 1 (ECTS-Credits: 2,5)
WPF ME-MA-SEM-EEI 3 (ECTS-Credits: 2,5)

Voraussetzungen / Organisatorisches
Registration via StudOn: https://www.studon.fau.de/xcos2828315.html

On StudOn, you also found latest information about the seminar.

We offer 12 seminar places which are assigned by the date of registration. Further interested students are put on a waiting list.

Inhalt
Audio Signal Processing for Human-Robot Interaction

In this seminar, state-of-the-art concepts and methods for an intuitive audio-signal-based human-machine interaction for robots are discussed. This task is especially challenging since a robot typically operates in adverse acoustical environments characterized by noise, interfering sources and reverberation. Therefore, efficient and robust methods for acoustic scene analysis and signal enhancement are required, including localization, extraction and separation of acoustic sources, as well as and very specific for robots, the reduction of self-noise. Being typically equipped with other sensor modalities beside microphones, sensor fusion is also highly relevant. Reflecting the current trend in research in this domain, many of the topics of this seminar are based on methods from artificial intelligence and machine learning.

This seminar is designed for Bachelor and Master programs in Electrical Engineering, Electronics and Information Technology (EEI), Information and Communication Technology (IuK), Industrial Engineering and Management (WING), Computational Engineering (CE), Communications and Multimedia Engineering (CME), Advanced Signal Processing and Communications Engineering (ASC) as well as related study programs.

The seminar consists of three mandatory meetings:

1st meeting on Tuesday, April 28, 2020 starting at 10:00am: An introduction will be given and the individual topics are assigned to the participants.

2nd meeting on Wednesday, June 10, 2020 starting at 10:00am: The participants will give a brief presentation about the status of their work and hints for the final presentation are given.

3rd meeting on Wednesday, July 15, 2020 starting at 9:00am: Each participant will give a presentation of 25 minutes and submit a report on his/her topic of 10 to 15 pages.

All meetings and presentations will be given in English and the reports are expected to be written in English.

The first and second meeting will be conducted via the tele-conference system zoom. The third meeting will be held either as a tele-conference meeting as well, if face-to-face meeting are not possible by that date. Further information can be found on StudOn.

ECTS-Informationen:
Title:
Seminar on Selected Topics in Multimedia Communications and Signal Processing

Credits: 2,5

Prerequisites
Registration via StudOn: https://www.studon.fau.de/xcos2828315.html

On StudOn, you also found latest information about the seminar and its dates.

We offer 12 seminar places which are assigned by the date of registration. Further interested students are put on a waiting list.

Contents
Audio Signal Processing for Human-Robot Interaction

In this seminar, state-of-the-art concepts and methods for an intuitive audio-signal-based human-machine interaction for robots are discussed. This task is especially challenging since a robot typically operates in adverse acoustical environments characterized by noise, interfering sources and reverberation. Therefore, efficient and robust methods for acoustic scene analysis and signal enhancement are required, including localization, extraction and separation of acoustic sources, as well as and very specific for robots, the reduction of self-noise. Being typically equipped with other sensor modalities beside microphones, sensor fusion is also highly relevant. Reflecting the current trend in research in this domain, many of the topics of this seminar are based on methods from artificial intelligence and machine learning.

This seminar is designed for Bachelor and Master programs in Electrical Engineering, Electronics and Information Technology (EEI), Information and Communication Technology (IuK), Industrial Engineering and Management (WING), Computational Engineering (CE), Communications and Multimedia Engineering (CME), Advanced Signal Processing and Communications Engineering (ASC) as well as related study programs.

The seminar consists of three mandatory meetings:

1st meeting on Tuesday, April 28, 2020 starting at 10:00am: An introduction will be given and the individual topics are assigned to the participants.

2nd meeting on Wednesday, June 10, 2020 starting at 10:00am: The participants will give a brief presentation about the status of their work and hints for the final presentation are given.

3rd meeting on Wednesday, July 15, 2020 starting at 9:00am: Each participant will give a presentation of 25 minutes and submit a report on his/her topic of 10 to 15 pages.

All meetings and presentations will be given in English and the reports are expected to be written in English.

The first and second meeting will be conducted via the tele-conference system zoom. The third meeting will be held either as a tele-conference meeting as well, if face-to-face meeting are not possible by that date. Further information can be found on StudOn.

Zusätzliche Informationen
Schlagwörter: Signal Processing, Seminar
Erwartete Teilnehmerzahl: 12
www: https://www.studon.fau.de/crs1102333.html
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt von Montag, 30.3.2020 bis Sonntag, 5.4.2020 über: StudOn.

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2020:
Seminar Ausgewählte Kapitel der Multimediakommunikation und Signalverarbeitung (Sem LMS)

Institution: Lehrstuhl für Multimediakommunikation und Signalverarbeitung
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