Professur für Nachrichtentechnik

Cauerstraße 7/9
91058 Erlangen

Related Project(s)

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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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Haubner, T., Schmidt, A., & Kellermann, W. (2018). Multichannel Nonnegative Matrix Factorization for Ego-Noise Suppression. Oldenburg, DE.
Evers, C., Löllmann, H., Mellmann, H., Schmidt, A., Barfuß, H., Naylor, P., & Kellermann, W. (2018). LOCATA Challenge - Evaluation and Measures. Tokyo.
Löllmann, H., Brendel, A., & Kellermann, W. (2018). Efficient ML-Estimator for Blind Reverberation Time Estimation. In EURASIP (Eds.), (pp. 1-5). Rome, IT.
Halimeh, M.M., Hümmer, C., Brendel, A., & Kellermann, W. (2018). Hybrid Particle Filtering based on an Elitist Resampling Scheme. In Proceedings of 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (pp. 257-261). Sheffield, GB.
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., Huang, C., & Kellermann, W. (2018). STFT Bin Selection for Localization Algorithms based on the Sparsity of Speech Signal Spectra. (pp. 2561-2568). Heraklion, Crete, GR.
Brendel, A., & Kellermann, W. (2018). Learning-Based Acoustic Source-Microphone Distance Estimation Using the Coherent-to-Diffuse Power Ratio. Calgary, CA.
Halimeh, M.M., Hümmer, C., & Kellermann, W. (2018). NONLINEAR ACOUSTIC ECHO CANCELLATION USING ELITIST RESAMPLING PARTICLE FILTER. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 236-240). Calgary, CA: Calgery, Canada.
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.
Hümmer, C., Hofmann, C., Maas, R., & Kellermann, W. (2018). Estimating Parameters of Nonlinear Systems Using the Elitist Particle Filter Based on Evolutionary. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(3), 595-608.
Zheng, C., Deleforge, A., Li, X., & Kellermann, W. (2018). Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(5), 951-966.
Brendel, A., & Kellermann, W. (2018). Learning-based Acoustic Source Localization in Acoustic Sensor Networks using the Coherent-to-Diffuse Power Ratio. Rome, IT.
Brendel, A., Gannot, S., & Kellermann, W. (2018). Localization of Multiple Simultaneously Active Speakers in an Acoustic Sensor Network.
Brendel, A., & Kellermann, W. (2018). Tracking of Multiple Sources in an Acoustic Sensor Network using an Extended Gaussian Mixture PHD Filter. Sheffield, GB.
Schmidt, A., Löllmann, H., & Kellermann, W. (2018). A Novel Ego-Noise Suppression Algorithm for Acoustic Signal Enhancement in Autonomous Systems. Calgary.
Barfuß, H., Bachmann, M., Hümmer, C., & Kellermann, W. (2018). Exploiting microphone array symmetry for robust two-dimensional polynomial beamforming. Tokyo, JP.
Barfuß, H., Reindl, K., & Kellermann, W. (2018). Informed spatial filtering based on constrained independent component analysis. In Shoji Makino (Eds.), Audio Source Separation (pp. 237 - 278). Springer.
Löllmann, H., Evers, C., Schmidt, A., Mellmann, H., Barfuß, H., Naylor, P.A., & Kellermann, W. (2018). The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking. In IEEE Signal Processing Society (Eds.), (pp. 1-5). Sheffield, GB.
Erhardt, S., Gäde, B., Kölpin, A., & Weigel, R. (2018). Enhanced GSM Broadcast Receiver using the Phase Output of a Sub-GHz Transceiver. (unpublished, Accepted).
Delcroix, M., Kinoshita, K., Ogawa, A., Hümmer, C., & Nakatani, T. (2018). Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(5), 895-908.

Last updated on 2016-05-05 at 04:58