61 citations · 245 across the 30 of their papers we have counts for
8 papers · 1 filter
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…
Cyclic MPDR Beamforming for Suppression of Almost-Cyclostationary Acoustic Interference
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…
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)…
Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations
Giovanni Bologni, Richard C. Hendriks, Richard Heusdens
This article focuses on estimating relative transfer functions (RTFs) for beamforming applications. Traditional methods often assume that spectra are uncorrelated, an assumption th…
Localization based on enhanced low frequency interaural level difference
Metin Calis, Steven van de Par, Richard Heusdens +1
The processing of low-frequency interaural time differences is found to be problematic among hearing-impaired people. The current generation of beamformers does not consider this d…