Throughout our adult lives there is a decline in peripheral hearing, auditory processing and
elements of cognition that support listening ability. Audiometry provides no information about …

Many purely neural network based speech separation approaches have been proposed to
improve objective assessment scores, but they often introduce nonlinear distortions that are …

Phase serves as a critical component of speech that influences the quality and intelligibility.
Current speech enhancement algorithms are beginning to address phase distortions, but the …

Nicolelis wrote in his 2003 review on brain-machine interfaces (BMIs) that the design of a
successful BMI relies on general physiological principles describing how neuronal signals …

Background Two challenges in auditory fMRI include the loud scanner noise during sound
presentation and slow data acquisition. Here, we introduce a new auditory imaging protocol …

Informational masking (IM) is defined as the compromised ability to perceive and analyze
signals from a single sound source in a cacophony of sounds from other sources even if the …

OPEN ACCESS EDITED BY Page 64 TYPE Original Research frontiers Frontiers in Neurology
PUBLISHED 20 October 2022 DOI 10.3389/fneur. 2022.1009087 Check for updates OPEN …

The growing population of listeners with hearing loss, along with the limitations of current
audio enhancement solutions, have created the need for novel approaches that take into …

Abstract Speech-in-noise (SIN) perception is one of the most complex listening tasks our
auditory system performs daily with relative ease, speed, and efficiency. Changes or …

Children with sensorineural hearing loss show considerable variability in spoken language
outcomes. The present study tested whether specific deficits in supra-threshold auditory …