Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Wireless acoustic sensor network (WASN) has shown great potential for speech
enhancement compared with traditional microphone arrays. As dealing with all sensor …

In distributed acoustic sensor networks, only a few nodes make a significant contribution to
speech enhancement tasks. Using these most informative nodes instead of the entire …

We propose a new robust distributed linearly constrained beamformer that utilizes a set of
linear equality constraints to reduce the cross power spectral density matrix to a block …

This paper considers optimization problems over networks where agents have individual
objectives to meet, or individual parameter vectors to estimate, subject to subspace …

A computer being able to estimate the geometry of a room could benefit applications such as
auralization, robot navigation, virtual reality and teleconferencing. When estimating the …

Distributed noise reduction is a challenging task in acoustic sensor networks (ASNs). To
address the problem, a distributed parameterized topology-independent noise reduction …

Until now, distributed acoustic beamforming has focused on optimizing for a beamformer
over an entire network, with each node contributing to the beamformer output. We present a …

In this paper we propose a distributed reformulation of the linearly constrained minimum
variance (LCMV) beamformer for use in acoustic wireless sensor networks. The proposed …

Far-field speech processing is an important and challenging problem. In this paper, we
propose deep ad-hoc beamforming, a deep-learning-based multichannel speech …