2 papers
eess.AS2025
Deep learning based spatial aliasing reduction in beamforming for audio capture
Mateusz Guzik, Giulio Cengarle, Daniel Arteaga
Spatial aliasing affects spaced microphone arrays, causing directional ambiguity above certain frequencies, degrading spatial and spectral accuracy of beamformers. Given the limita…
eess.AS2025
On Ambisonic Source Separation with Spatially Informed Non-negative Tensor Factorization
Mateusz Guzik, Konrad Kowalczyk
This article presents a Non-negative Tensor Factorization based method for sound source separation from Ambisonic microphone signals. The proposed method enables the use of prior k…