• Michael Günther, Haitham Afifi, Andreas Brendel, Holger Karl, Walter Kellermann: Best Poster Award WASPAA 2019, New Paltz, USA (IEEE Signal Processing Society) – 2019

2019

• Gerum R., Rahlfs H., Streb M., Krauß P., Grimm J., Metzner C., Tziridis K., Günther M., Schulze H., Kellermann W., Schilling A.:
  Open(G)PIAS: An open-source solution for the construction of a high-precision acoustic startle response setup for tinnitus screening and threshold estimation in rodents
  In: Frontiers in Behavioral Neuroscience 13 (2019), Art.Nr.: 140
  ISSN: 1662-5153
  DOI: 10.3389/fnbeh.2019.00140
  BibTeX: Download
• Günther M., Afifi H., Brendel A., Karl H., Kellermann W.:
  Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks
  IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (New Paltz, 20. Oktober 2019 - 23. Oktober 2019)
  BibTeX: Download
• Günther M., Brendel A., Kellermann W.:
  Single-channel Signal Features for Estimating Microphone Utility for Coherent Signal Processing
  International Congress on Acoustics (Aachen, 9. September 2019 - 13. September 2019)
  BibTeX: Download

2016

• Hofmann C., Günther M., Bürger M., Kellermann W.:
  Higher-order listening room compensation with additive compensation signals
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Shanghai, 20. März 2016 - 25. März 2016)
  DOI: 10.1109/ICASSP.2016.7471732
  BibTeX: Download
• Hofmann C., Günther M., Hümmer C., Kellermann W.:
  Efficient nonlinear acoustic echo cancellation by partitioned-block significance-aware Hammerstein group models
  European Signal Processing Conf. (EUSIPCO) (Budapest, 29. August 2016 - 2. September 2016)
  DOI: 10.1109/EUSIPCO.2016.7760555
  BibTeX: Download
• Hofmann C., Hümmer C., Günther M., Kellermann W.:
  Significance-aware filtering for nonlinear acoustic echo cancellation
  In: EURASIP Journal on Advances in Signal Processing 2016 (2016), S. 113
  ISSN: 1687-6172
  DOI: 10.1186/s13634-016-0410-7
  BibTeX: Download