Signal processing algorithms for near end listening enhancement allow to improve the intelligibility of clean (far end) speech for the near end listener who perceives not only the far end speech but also ambient background noise. A typical scenario is mobile communication conducted in the presence of acoustical background noise such as traffic or babble noise.
['Bastian Sauert', 'Peter Vary']
Near end listening enhancement optimized with respect to Speech Intelligibility Index