3 papers
eess.AS2025
An Analysis of Joint Nonlinear Spatial Filtering for Spatial Aliasing Reduction
Alina Mannanova, Jakob Kienegger, Timo Gerkmann
The performance of traditional linear spatial filters for speech enhancement is constrained by the physical size and number of channels of microphone arrays. For instance, for larg…
eess.AS2025
Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance
Jakob Kienegger, Alina Mannanova, Huajian Fang +1
Recent works on deep non-linear spatially selective filters demonstrate exceptional enhancement performance with computationally lightweight architectures for stationary speakers o…
eess.AS2025
Mask-Weighted Spatial Likelihood Coding for Speaker-Independent Joint Localization and Mask Estimation
Jakob Kienegger, Alina Mannanova, Timo Gerkmann
Due to their robustness and flexibility, neural-driven beamformers are a popular choice for speech separation in challenging environments with a varying amount of simultaneous spea…