In multiple speaker scenarios, the linearly constrained minimum variance (LCMV)
beamformer is a popular microphone array-based speech enhancement technique, as it …

Linearly constrained minimum variance (LCMV) beamforming is a popular spatial filtering
technique for signal estimation or signal enhancement in many different fields. We consider …

We consider two aspects of linear MMSE signal estimation in wireless sensor networks, ie
sensor subset selection and link failure response. Both aspects are of great importance in …

Wireless sensor networks are often deployed over a large area of interest and therefore the
quality of the sensor signals may vary significantly across the different sensors. In this case …

An adaptive distributed noise reduction algorithm for speech enhancement is considered,
which operates in a wireless acoustic sensor network where each node collects multiple …

For hearing-impaired listeners, both ambient noise suppression and binaural cues
preservation of directional sources are required, such that a complete spatial awareness of …

Compared to monaural hearing aids (HAs), binaural hearing aid systems, in which there is a
communication link between the two devices, have improved noise reduction capabilities …

In this paper, we consider distributed signal estimation in sensor networks where the nodes
exchange compressed sensor signal observations to estimate different node-specific …

Noise reduction is an important problem in hands-free speech capture. This paper discusses
the use of a remote wireless microphone to aid the reduction of practical non-stationary …

Enhancement algorithms for wireless acoustic sensor networks (WASNs) are indispensable
with the increasing availability and usage of connected devices with microphones …