42 citations · 259 across the 41 of their papers we have counts for
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eess.AS2018★ 6 cited
Optimal Binaural LCMV Beamforming in Complex Acoustic Scenarios: Theoretical and Practical Insights
N. Gößling, D. Marquardt, I. Merks +2
Binaural beamforming algorithms for head-mounted assistive listening devices are crucial to improve speech quality and speech intelligibility in noisy environments, while maintaini…
eess.AS2018★ 6 cited
RTF-Based Binaural MVDR Beamformer Exploiting an External Microphone in a Diffuse Noise Field
N. Gößling, S. Doclo
Besides suppressing all undesired sound sources, an important objective of a binaural noise reduction algorithm for hearing devices is the preservation of the binaural cues, aiming…
eess.AS2018★ 16 cited
Relative Transfer Function Estimation Exploiting Spatially Separated Microphones in a Diffuse Noise Field
N. Gößling, S. Doclo
Many multi-microphone speech enhancement algorithms require the relative transfer function (RTF) vector of the desired speech source, relating the acoustic transfer functions of al…