A wireless acoustic sensor network records audio signals with sampling time and sampling
rate offsets between the audio streams, if the analog-digital converters (ADCs) of the …

The target localization performance is not only affected by the measurement noise, but also
related with the sensor error such as sensor position error and measurement biases. If not …

With the wide applications of the Internet of Things (IoT) technologies in intelligent
manufacturing, production safety, smart citie, and other fields, target location awareness has …

The demands for high localization accuracy in wireless sensor networks (WSNs) have led to
the development of various innovative algorithms. This article proposes a distributed joint …

We propose a system that transcribes the conversation of a typical meeting scenario that is
captured by a set of initially unsynchronized microphone arrays at unknown positions. It …

First-order Linear Differential Microphone Arrays (LDMAs) are sensitive to sensor
imperfections such as phase errors. This paper analyses the impacts of both bounded and …

This paper takes a previously proposed convolutional recurrent deep neural network (DNN)
approach to direction of arrival (DoA) estimation and extends this to perform 2D localisation …

We consider a network of initially unsynchronized microphone arrays to be used to capture a
meeting which is afterwards transcribed. Beamforming is applied to exploit the spatial …

Acoustic sensing by multiple devices connected in a wireless acoustic sensor network
(WASN) creates new opportunities for multichannel signal processing. However, the …

The room impulse response (RIR) encodes, among others, information about the distance of
an acoustic source from the sensors. Deep neural networks (DNNs) have been shown to be …