A signal processing approach combining beamforming with mask-informed speech
enhancement was assessed by measuring sentence recognition in listeners with mild-to …

Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …

To assess perception with and performance of modern and future hearing devices with
advanced adaptive signal processing capabilities, novel evaluation methods are required …

The benefit in speech-recognition performance due to the compensation of a hearing loss
can vary between listeners, even if unaided performance and hearing thresholds are similar …

Almost half a billion people world-wide suffer from disabling hearing loss. While hearing
aids can partially compensate for this, a large proportion of users struggle to understand …

A review about technical and perceptual factors in hearing aid technology, research and
development is provided, covering current commercial solutions, underlying models of …

Several binaural audio signal enhancement algorithms were evaluated with respect to their
potential to improve speech intelligibility in noise for users of bilateral cochlear implants …

The simulation framework for auditory discrimination experiments (FADE) was adopted and
validated to predict the individual speech-in-noise recognition performance of listeners with …

Neural networks have been successfully used for non-intrusive speech intelligibility
prediction. Recently, the use of feature representations sourced from intermediate layers of …

The aim of this study was to evaluate the performance of a visually guided hearing aid
(VGHA) under conditions designed to capture some aspects of “real-world” communication …