@article{Neher_Aderhold_Marquardt_Brand_2015, title={Individual factors in speech recognition with binaural multi-microphone noise reduction: Measurement and prediction}, volume={5}, url={https://proceedings.isaar.eu/index.php/isaarproc/article/view/2015-27}, abstractNote={<p>Multi-microphone noise reduction algorithms give typically rise to large signal-to-noise ratio improvements, but they can also severely distort binaural information and thus compromise spatial hearing abilities. To address this problem Klasen <em>et al</em>. (2007) proposed an extension of the binaural multi-channel Wiener filter (MWF), which suppresses only part of the noise and, in this way, preserves some binaural information (MWF-N). The current study had three aims: (1) to assess aided speech recognition with MWF(-N) for a group of elderly hearing-impaired listeners, (2) to explore the impact of individual factors on their performance, and (3) to test if outcome can be predicted using a binaural speech intelligibility model. Sixteen hearing aid users took part in the study. Speech recognition was assessed using headphone simulations of a spatially complex speech-in-noise scenario. Individual factors were assessed using audiometric, psychoacoustic (binaural), and cognitive measures. Analyses showed clear benefits from both MWF and MWF-N and also suggested sensory and binaural influences on speech recognition. Model predictions were reasonably accurate for MWF but not MWF-N, suggesting a need for some model refinement concerning supra-threshold processing.</p>}, journal={Proceedings of the International Symposium on Auditory and Audiological Research}, author={Neher, Tobias and Aderhold, Jacob and Marquardt, Daniel and Brand, Thomas}, year={2015}, month={Dec.}, pages={237–244} }