9 papers
MPDR Beamforming for Almost-Cyclostationary Processes
Giovanni Bologni, Martin Bo Møller, Richard Heusdens +1
Conventional acoustic beamformers typically assume short-time stationarity and process frequency bins independently, ignoring inter-frequency correlations. This is suboptimal for a…
A two-step approach for speech enhancement in low-SNR scenarios using cyclostationary beamforming and DNNs
Giovanni Bologni, Nicolás Arrieta Larraza, Richard Heusdens +1
Deep Neural Networks (DNNs) often struggle to suppress noise at low signal-to-noise ratios (SNRs). This paper addresses speech enhancement in scenarios dominated by harmonic noise…
When Is Distributed Nonlinear Aggregation Private? Optimality and Information-Theoretical Bounds
Wenrui Yu, Jaron Skovsted Gundersen, Richard Heusdens +1
Nonlinear aggregation is central to modern distributed systems, yet its privacy behavior is far less understood than that of linear aggregation. Unlike linear aggregation where mat…
Harmonics to the Rescue: Why Voiced Speech is Not a Wss Process
Giovanni Bologni, Richard Heusdens, Richard C. Hendriks
Speech processing algorithms often rely on statistical knowledge of the underlying process. Despite many years of research, however, the debate on the most appropriate statistical…
Cyclic Multichannel Wiener Filter for Acoustic Beamforming
Giovanni Bologni, Richard Heusdens, Richard C. Hendriks
Acoustic beamforming models typically assume wide-sense stationarity of speech signals within short time frames. However, voiced speech is better modeled as a cyclostationary (CS)…
Optimal Privacy-Preserving Distributed Median Consensus
Wenrui Yu, Qiongxiu Li, Richard Heusdens +1
Distributed median consensus has emerged as a critical paradigm in multi-agent systems due to the inherent robustness of the median against outliers and anomalies in measurement. D…