Prof. Dr.-Ing. Walter Kellermann



Organisationseinheit


Professur für Nachrichtentechnik


Preise / Auszeichnungen

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2017 : Best Paper Award
2017 : IEEE WASPAA Student Travel Grant
2016 : Lehrevaluation - Bestenliste
2015 : Group Technical Achievement Award 2015
2015 : Lehrevaluation - Bestenliste


Erfindung/en


Adaptive Raumentzerrung unter Verwendung einer skalierbaren Filterstruktur im Wellenbereich
Biasreduktion einer gemeinsamen Störsignalschätzung zur Störreduktion in binauralen Hörgeräten
Decorrelation of Loudspeaker Signals by Alteration of the Rendered Scene



Projektleitung

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Strukturoptimierende Identifikation nichtlinearer Systeme mittels elitärer Partikelfilterung
Prof. Dr.-Ing. Walter Kellermann
(01.01.2016 - 31.07.2019)

(Embodied Audition for RobotS):
EARS: Embodied Audition for RobotS
Prof. Dr.-Ing. Walter Kellermann
(01.01.2014 - 31.12.2016)

Speech Recognition
Prof. Dr.-Ing. Walter Kellermann
(01.07.2012 - 28.02.2013)

(Self-configuring environment-aware intelligent acoustic sensing):
SCENIC: Self-configuring environment-aware intelligent acoustic sensing
Prof. Dr.-Ing. Walter Kellermann; Prof. Dr. Rudolf Rabenstein
(01.01.2009 - 31.12.2011)

Nachhallmodellierung für die robuste Spracherkennung in halligen Umgebungen
Prof. Dr.-Ing. Walter Kellermann
(01.08.2008 - 30.08.2011)


Weitere Forschungsaktivitäten


Sonstige FAU-externe Aktivitäten
Prof. Dr.-Ing. Walter Kellermann
Elected member of the IEEE Signal Processing Society Nomination and Appointment Committee
(01.01.2019 - 31.12.2020)
Sonstige FAU-externe Aktivitäten
Prof. Dr.-Ing. Walter Kellermann
Associate Member of the IEEE Signal Processing Society Technical Committee Audio and Acoustic Signal Processing
(01.01.2019)
Sonstige FAU-externe Aktivitäten
Prof. Dr.-Ing. Walter Kellermann
Voting Member of the IEEE Signal Processing Society Technical Committee Sensor and Multichannel Signal Processing
(01.01.2019 - 31.12.2021)
Sonstige FAU-externe Aktivitäten
Prof. Dr.-Ing. Walter Kellermann
Reelected member of the EURASIP Technical Area Committee Signal Processing for Multisensor Systems
(01.01.2019 - 31.12.2021)


Publikationen (Download BibTeX)

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Brendel, A., Altmann, I., & Kellermann, W. (2019). Acoustic Source Position Estimation based on Multi-Feature Gaussian Processes. In Proceedings of the European Signal Processing Conference (EUSIPCO). A Coruna, ES.
Haubner, T., Schmidt, A., & Kellermann, W. (2019). Active Acoustic Source Tracking Exploiting Particle Filtering and Monte Carlo Tree Search. In Proceedings of the 27th European Signal Processing Conference, EUSIPCO 2019. A Coruña, ES.
Löllmann, H., Brendel, A., & Kellermann, W. (2019). Comparative Study of Single-Channel Algorithms for Blind Reverberation Time Estimation. In Proceedings of the International Congress on Acoustics. Aachen, DE.
Briegleb, A., Schmidt, A., & Kellermann, W. (2019). Deep Clustering for single-channel ego-noise suppression. In Proceedings of the International Congress on Acoustics. Aachen, DE.
Forster, L., Schmidt, A., Talmon, R., Kellermann, W., & Shnitzer, T. (2019). Diffusion maps particle filter. In Proceedings of the 27th European Signal Processing Conference (EUSIPCO). A Coruña, ES.
Brendel, A., & Kellermann, W. (2019). Distributed Source Localization in Acoustic Sensor Networks using the Coherent-to-Diffuse Power Ratio. IEEE Journal of Selected Topics in Signal Processing. https://dx.doi.org/10.1109/JSTSP.2019.2900911
Schmidt, A., & Kellermann, W. (2019). Informed ego-noise suppression using motor data-driven dictionaries. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 116-120). Brighton.
Gannot, S., Haardt, M., Kellermann, W., & Willett, P. (2019). Introduction to the Issue on Acoustic Source Localization and Tracking in Dynamic Real-Life Scenes. IEEE Journal of Selected Topics in Signal Processing, 13(1), 3-7. https://dx.doi.org/10.1109/JSTSP.2019.2906923
Brendel, A., Laufer-Goldshtein, B., Gannot, S., Talmon, R., & Kellermann, W. (2019). Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization. In Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP). Brighton, GB.
Halimeh, M.M., Brendel, A., & Kellermann, W. (2019). Neural Networks Sequential Training Using Variational Gaussian Particle Filter. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, GB.

Zuletzt aktualisiert 2016-05-05 um 05:08