Guendalina Milano — accepted AI-conference papers

2024

Sector-Based Interference Cancellation for Robust Keyword Spotting Applications Using an Informed MPDR Beamformer

Guendalina Milano, Oliver Thiergart, Emanuël A. P. Habets

ICASSP 2024accepted

A low-complexity, sector-based interference cancellation approach is proposed for voice-controlled devices, e.g., smart speakers. We propose an informed minimum power distortionless response beamformer that provides an optimal trade-off between noise reduction, dereverberation, and interference canc…

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2019

Combining Linear Spatial Filtering and Non-linear Parametric Processing for High-quality Spatial Sound Capturing

Oliver Thiergart, Guendalina Milano, Emanuël Anco Peter Habets

ICASSP 2019accepted

Flexible spatial sound capturing and reproduction can be achieved with multiple microphones by using linear spatial filtering or non-linear parametric processing. The non-linear approaches usually provide a superior spatial resolution compared to the linear approaches but can result in artifacts due…

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