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

We propose an overdetermined source separation and localization method for a set of M
microphones distributed around an unknown number, N<; M, of sources. We reformulate the …

The challenge of blindly resynchronizing the data acquisition processes in a wireless
acoustic sensor network (WASN) is addressed in this paper. The sampling rate offset (SRO) …

We propose a time difference of arrival (TDOA) estimation framework based on time-
frequency inter-channel phase difference (IPD) to count and localize multiple acoustic …

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 …

Coherent processing of signals captured by a wireless acoustic sensor network (WASN)
requires an estimation of unknown parameters such as the sampling-rate and sampling-time …

Multi-channel speech enhancement algorithms rely on a synchronous sampling of the
microphone signals. This, however, cannot always be guaranteed, especially if the sensors …

Sampling rate synchronization is an inevitable issue in distributed acoustic sensor networks.
In this paper, an analytical sampling rate offset (SRO) estimation approach is first proposed …

Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor
network (WASN) can hinder the ability of distributed adaptive algorithms to perform as …

Robot audition systems with multiple microphone arrays have many applications in practice.
However, accurate calibration of multiple microphone arrays remains challenging because …