Nico Karius

Education

Media technology studies at the Hamburg University of Applied Sciences, Hearing technology and audiology studies at the University of Oldenburg, Doctoral thesis in the field of digital signal processing

Main focus

Patent and utility model law (in particular in the fields of signal processing, information and communications technology, medical engineering, electronics), trademark law

Working languages

German, English

Publications

  • N. Gößling, D. Marquardt, and S. Doclo, “Performance analysis of the extended binaural MVDR beamformer with partial noise estimation,” IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 29, pp. 462–476, Dec. 2020.

  • N. Gößling, E. Hadad, S. Gannot, and S. Doclo, “Binaural LCMV beamforming with partial noise estimation,” IEEE/ACM Trans. Audio, Speech, and Language Processing, vol. 28, pp. 2942–2955, Oct. 2020.

  • N. Gößling, D. Marquardt, and S. Doclo, “Perceptual evaluation of binaural MVDR-based algorithms to preserve the interaural coherence of diffuse noise fields,” Trends in Hearing, vol. 24, pp. 1–18, Apr. 2020.
  • N. Gößling, W. Middelberg, and S. Doclo, “RTF-steered binaural MVDR beamforming incorporating multiple external microphones,” in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, USA, Oct. 2019, pp. 368–372.
  • N. Gößling and S. Doclo, “RTF-steered binaural MVDR beamforming incorporating an external microphone for dynamic acoustic scenarios,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019, pp. 416–420.

  • N. Gößling and S. Doclo, “RTF-based binaural MVDR beamformer exploiting an external microphone in a diffuse noise field,” in Proc. ITG Conference on Speech Communication, Oldenburg, Germany, Oct. 2018, pp. 106–110.
  • C. Hauth, N. Gößling, and T. Brand, “Performance prediction of the binaural MVDR beamformer with partial noise estimation using a binaural speech intelligibility model,” in Proc. ITG Conference on Speech Communication, Oldenburg, Germany, Oct. 2018, pp. 301–305.
  • J. Klug, D. Marquardt, N. Gößling, and S. Doclo, “Evaluation of signal-dependent partial noise estimation algorithms for binaural hearing aids,” in Proc. ITG Conference on Speech Communication, Oldenburg, Germany, Oct. 2018, pp. 236–240.
  • N. Gößling and S. Doclo, “Relative transfer function estimation exploiting spatially separated microphones in a diffuse noise field,” in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, Sep. 2018, pp. 146–150.
  • N. Gößling, D. Marquardt, I. Merks, T. Zhang, and S. Doclo, “Optimal binaural LCMV beamforming in complex acoustic scenarios: theoretical and practical insights,” in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), Tokyo, Japan, Sep. 2018, pp. 381–385.
  • N. Gößling, D. Marquardt, and S. Doclo, “Comparison of RTF estimation methods between a head-mounted binaural hearing device and an external microphone,” in Proc. International Workshop on Challenges in Hearing Assistive Technology (CHAT), Stockholm, Sweden, Aug. 2017, pp. 101–106.
  • N. Gößling, D. Marquardt, and S. Doclo, “Performance analysis of the extended binaural MVDR beamformer with partial noise estimation in a homogeneous noise field,” in Proc. Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco, USA, Mar. 2017, pp. 1–5.

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