Nico Karius

Ausbildung

Studium der Medientechnik an der Hochschule für Angewandte Wissenschaften Hamburg, Studium der Hörtechnik und Audiologie an der Universität Oldenburg, Promotion im Bereich der digitalen Signalverarbeitung

Schwerpunkte

Patent- und Gebrauchsmusterrecht (insbesondere in den Gebieten Signalverarbeitung, Informations- und Kommunikationstechnik, Medizintechnik, Elektronik), Markenrecht

Arbeitssprachen

Deutsch, Englisch

Publikationen

  • 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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