Biometrics, as a computer science field, can be understood as the discipline that study how
to generate computer models of the physical (eg hand geometry, fingerprints, iris and so on) …

The knowledge of speech presence probability (SPP) plays an essential role in noise
estimation and speech enhancement. Single channel SPP estimation and centralized multi …

In this paper we present a privacy-aware method for estimating source-dominated
microphone clusters in the context of acoustic sensor networks (ASNs). The approach is …

This work investigates privacy-aware collaborative wake word detection (WWD) in acoustic
sensor networks. To meet state-of-the-art privacy constraints, the proposed WWD scheme is …

In this paper we introduce a realistic and challenging, multi-source and multi-room acoustic
environment and an improved algorithm for the estimation of source-dominated microphone …

In this paper we present an accelerated algorithm for clustering source-dominated
microphones in acoustic sensor networks. Predicated on privacy-preserving unsupervised …

In this paper, we propose a robust multi-speaker voice activity detection approach for
wireless acoustic sensor networks (WASN). Each node of the WASN receives a mixture of …

Speech enhancement constitutes a great challenge in unknown noisy environments. Many
studies have addressed this problem for both single-channel and centralized multichannel …

Detecting the components common or correlated across multiple data sets is challenging
due to a large number of possible correlation structures among the components. Even more …

We propose a robust technique for multi-speaker voice activity detection and source
enumeration in wireless acoustic sensor networks (WASN). The proposed technique first …