Nanogenerators (NGs) are one of the promising energy solutions, which collect different
forms of energy in the environment, and have great potential applications in self-powered …

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 …

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 …

Sound processing in the human auditory system is complex and highly non-linear, whereas
hearing aids (HAs) still rely on simplified descriptions of auditory processing or hearing loss …

Automatic speech recognition (ASR) has made major progress based on deep machine
learning, which motivated the use of deep neural networks (DNNs) as perception models …

Data for monitoring individual hearing aid usage has historically been limited to
retrospective questionnaires or data logged intrinsically in the hearing aid cumulatively over …

The objective of this study was to provide proof of concept that the speech intelligibility in
quiet of unaided older hearing-impaired (OHI) listeners can be predicted by automatic …

Being able to estimate speech intelligibility without the need for listening tests would confer
great benefits for a wide range of speech processing applications. Many attempts have …

Hearing aids are expected to improve speech intelligibility for listeners with hearing
impairment. An appropriate amplification fitting tuned for the listener's hearing disability is …

This study examined how well individual speech recognition thresholds in complex listening
scenarios could be predicted by a current binaural speech intelligibility model. Model …