Prof. Dr.-Ing. Walter Kellermann


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


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


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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)

Publikationen (Download BibTeX)

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Schmidt, A., Löllmann, H., & Kellermann, W. (2018). A novel ego-noise suppression algorithm for acoustic signal enhancement in autonomous systems. (pp. 6583-6587). Calgary, CA.
Deleforge, A., Schmidt, A., & Kellermann, W. (2018). Audio-motor integration for robot audition. In Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe (Eds.), Multimodal Behavior Analysis in the Wild. (pp. 27-52). London: Academic Press.
Bürger, M., Hofmann, C., & Kellermann, W. (2018). Broadband multizone sound rendering by jointly optimizing the sound pressure and particle velocity. The Journal of the Acoustical Society of America, 143(3), 1477-1490.
Hofmann, C., & Kellermann, W. (2018). Chapter 4 - Recent advances on LIP nonlinear filters and their applications: Efficient solutions and significance-aware filtering. In Adaptive learning methods for nonlinear system modeling. (pp. 71-102). Butterworth-Heinemann.
Brendel, A., & Kellermann, W. (2018). Distance estimation of acoustic sources using the coherent-to-diffuse power ratio based on distributed training. (pp. 246-250). Tokyo, JP.
Löllmann, H., Brendel, A., & Kellermann, W. (2018). Efficient ML-Estimator for Blind Reverberation Time Estimation. (pp. 1-5). Rome, IT.
Hümmer, C., Hofmann, C., Maas, R., & Kellermann, W. (2018). Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(3), 595-608.
Halimeh, M.M., Brendel, A., & Kellermann, W. (2018). Evolutionary resampling for multi-target tracking using probability hypothesis density filter. (pp. 647-651). Rome, IT.
Barfuß, H., Bachmann, M., Hümmer, C., & Kellermann, W. (2018). Exploiting microphone array symmetry for robust two-dimensional polynomial beamforming. (pp. 486-490). Tokyo, JP.
Halimeh, M.M., Hümmer, C., Brendel, A., & Kellermann, W. (2018). Hybrid particle filtering based on an elitist resampling scheme. (pp. 257-261). Sheffield, GB.

Zuletzt aktualisiert 2016-05-05 um 05:08