Prof. Dr.-Ing. Walter Kellermann


Professur für Nachrichtentechnik

Awards / Honours

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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

Project lead

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Structure-optimizing identification of nonlinear systems using elitist particle filtering
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)

Reverberation Modelling for Robust Speech Recognition in Reverberant Environments
Prof. Dr.-Ing. Walter Kellermann
(01/08/2008 - 30/08/2011)

Publications (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.

Last updated on 2016-05-05 at 05:08