When a person listens to sound, the brain time-locks to specific aspects of the sound. This is
called neural tracking and it can be investigated by analysing neural responses (eg …

Alterations of the speech signal, including additive noise and nonlinear distortion, can
reduce speech intelligibility and quality. Hearing aids present an especially complicated …

The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and
application of computational auditory models with a particular focus on binaural hearing …

Perception is thought to be shaped by the environments for which organisms are optimized.
These influences are difficult to test in biological organisms but may be revealed by machine …

Mammals localize sounds using information from their two ears. Localization in real-world
conditions is challenging, as echoes provide erroneous information and noises mask parts …

This paper reports on the design and outcomes of the 1st Clarity Prediction Challenge
(CPC1) for predicting the intelligibility of hearing aid processed signals heard by individuals …

A number of auditory models have been developed using diverging approaches, either
physiological or perceptual, but they share comparable stages of signal processing, as they …

The spiking activity of auditory nerve fibers (ANFs) transmits information about the acoustic
environment from the cochlea to the central auditory system. Increasing age leads to …

Sounds are processed by the ear and central auditory pathway. These processing steps are
biologically complex, and many aspects of the transformation from sound waveforms to …

In classical computational neuroscience, analytical model descriptions are derived from
neuronal recordings to mimic the underlying biological system. These neuronal models are …