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

To optimally improve signal-to-noise ratio in noisy environments, a hearing assistance
device must correctly identify what is signal and what is noise. Many of the biosignal-based …

Monaural intrusive speech intelligibility prediction (SIP) methods aim to predict the speech
intelligibility (SI) of a single-microphone noisy and/or processed speech signal using the …

An augmented reality (AR) platform combines several technologies in a system that can
render individual “digital objects” that can be manipulated for a given purpose. In the audio …

We present a database of acoustic transfer functions of the Hearpiece, a commercially
available multi-microphone multi-driver in-the-ear earpiece for hearing device research. The …

Data-driven speech intelligibility prediction has been slow totake off. Datasets of measured
speech intelligibility are scarce, and so current models are relatively small and rely on hand …

Enhancementof a desired speech signal in the presence of competing or interfering speech
remains an unsolved problem, as it can be hard to determine which of the speech signals is …

For certain applications, keyword spotting (KWS) requires some degree of personalization.
This is the case for KWS for hearing assistive devices, eg, hearing aids, where only the …

Acoustic beamforming is crucial for many applications where ex-traction of a target signal
from a noisy environment is required. In order to implement practical beamformers, eg the …

Spatial sound perception in aided listeners partly relies on hearing-aid-related transfer
functions (HARTFs), describing the directional acoustic paths between a sound source and …