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Dept. of Medical Physics and Acoustics - Signal Processing 
D-26111 Oldenburg 
Germany 

Tel: +49-441-798 5470 
Fax: +49-441-798 3902 
E-mail: simon.dm42aoclo(j9uat)uol.t19rdesstq (simon.doclhwa5yo@gcysuol.a+de) 

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Nico Gößling

Contact:

Nico Gößling, M. Sc.
Dept. of Medical Physics and Acoustics - Signal Processing Group
University of Oldenburg
D-26111 Oldenburg
Germany

E-mail: nitl5kco.goe6a3xsslioyaaung@uol.lerde
Tel: +49-441-798 3569
Fax: +49-441-798 3902
Office: W30 (NeSSy) 2-215

Biography

Nico Gößling received the B. Sc. degree in Media Technology with focus on Audio Technology from Hamburg University of Applied Sciences in 2013 and the M. Sc. degree in Hearing Technology and Audiology from University of Oldenburg in 2016. Since April 2016 he is pursuing a Dr.-Ing. degree at the Signal Processing Group of the University of Oldenburg. His research focuses on speech enhancement in binaural hearing devices and their combination with external microphones.
In 2018 Nico Gößling received the Best Student Paper Award at the 16th International Workshop on Acoustic Signal Enhancement (IWAENC) in Tokyo, Japan.

Research Interests

  • Multi-microphone processing for speech enhancement
  • Binaural hearing devices
  • Acoustic sensor networks

Journal papers

  1. 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.

Peer-Reviewed Conference Papers

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. *Best Student Paper Award*
  7. 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.
  8. 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.
  9. 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.

Conference Abstracts and Others

  1. N. Gößling and S. Doclo, “Binaural MVDR beamforming incorporating external microphones in complex acoustic scenarios,” 47th Erlanger Kolloquium, Erlangen, Germany, Feb. 2020.
  2. N. Gößling and S. Doclo, “RTF-steered binaural MVDR beamforming incorporating an external microphone for dynamic acoustic scenarios,” International Congress on Acoustics (ICA), Aachen, Germany, Sep. 2019.
  3. W. Middelberg, N. Gößling, and S. Doclo, “Real-time evaluation of an RTF-steered binaural MVDR beamformer  incorporating an external microphone,” Deutsche Jahrestagung für Akustik (DAGA), Rostock, Germany, Mar. 2019.
  4. N. Gößling and S. Doclo, “Comparison of binaural MVDR-based beamforming algorithms using an external microphone,” 11th Speech in Noise Workshop (SPiN), Ghent, Belgium, Jan. 2019.
  5. J. Klug, N. Gößling, and S. Doclo, “Subjective evaluation of signal-dependent partial noise estimation algorithms for binaural hearing aids,” 11th Speech in Noise Workshop (SPiN), Ghent, Belgium, Jan. 2019.
  6. C. F. Hauth, N. Gößling, and S. Doclo, T. Brand, “Performance prediction of the binaural MVDR beamformer with partial noise estimation using a binaural speech intelligibility model,” 11th Speech in Noise Workshop (SPiN), Ghent, Belgium, Jan. 2019.
  7. N. Gößling and S. Doclo, “RTF-based binaural MVDR beamformer exploiting an external microphone for dynamic acoustic scenarios,” IEEE International Conference on the Science of Electrical Engineering (ICSEE), Eilat, Israel, Dec. 2018.
  8. N. Gößling and S. Doclo, “Comparison of binaural MVDR-based beamforming algorithms using an external microphone,” International Hearing Aid Research Conference (IHCON), Lake Tahoe, USA, Aug. 2018.
  9. N. Gößling, T. Wendt, and S. D. Ewert, “Perceptually-plausible simulation of diffuse reflections and sound scattering,” Deutsche Jahrestagung für Akustik (DAGA), Aachen, Germany, Mar. 2016.

Teaching

  • Supervision of “Grundpraktikum Physik”, (WS16/17, WS17/18)
  • Tutorial in “Fortgeschrittenenpraktikum Physik (DSP Blockpraktikum)”, (WS16/17, WS17/18, WS18/19)
  • Tutorial in “Digital Signal Processing”, (SS18, SS19, SS20)
  • Tutorial in “Signal- und Systemtheorie”, (WS18/19, WS19/20)
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