Graduate School of Systemic Neurosciences GSN-LMU
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Prof. Dr. Bernhard U. Seeber

Prof. Dr. Bernhard U. Seeber

GSN associate faculty

Responsibilities

Professor of Audio Information Processing, TU Munich

Contact

Technische Universität München
Dept. of Electrical Engineering and Information Technology
Theresienstrasse 90
D-80333 Munich

Phone: +49 (0)89 / 289-28282
Fax: +49 (0)89 / 289-28211

Website: http://www.aip.ei.tum.de
Website: http://www.bseeber.de

Further Information

Research focus:

  • Auditory scene analysis with normal and impaired hearing
  • Cochlear implants: Perception and modeling of electric stimulation of the auditory nerve
  • Signal processing for cochlear implants and hearing aids and its perceptual impact
  • Binaural hearing for sound localization and speech understanding in reverberant and noisy spaces
  • Room simulation methods, sound field synthesis

Key words: Auditory perception, computational models, binaural hearing, acoustics, hearing devices

Selected publications:

Horne, C.; Sumner, C.S.; Seeber, B.U. (2016): A phenomenological model of the electrically stimulated auditory nerve fiber: temporal and biphasic response properties. Frontiers in Computational Neuroscience 10(8).

Monaghan, J.J.M.; Seeber, B.U. (2016): A method to enhance the use of interaural time differences for cochlear implants in reverberant environments. J Acoust Soc Am 140(2): 1116–1129.

Seeber B and Fastl H. (2008) Localization cues with bilateral cochlear implants, J Acoust Soc Am 123: 1030-1042.

Kerber S and Seeber BU. (2013) Localization in reverberation with cochlear implants: predicting performance from basic psychophysical measures, J Assoc Res Otolaryngol 14: 379-392.

Wiggins IM and Seeber BU. (2013) Linking dynamic-range compression across the ears can improve speech intelligibility in spatially separated noise, J Acoust Soc Am 133: 1004-1016.

Seeber BU, Kerber S and Hafter ER. (2010) A System to Simulate and Reproduce Audio-Visual Environments for Spatial Hearing Research, Hearing Research 260: 1-10.