Enhancing Spatial Post-Filters through Non-Linear Combinations

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Abstract

This paper introduces a method to enhance the spatial selectivity of spatial post-filters estimated with first-order directional signals. The approach involves applying non-linear transformations on two different spatial post-filters and combining them with weights found by convex optimization of the resulting directivity patterns. The estimation of the post-filters is carried out similarly to the Cross Pattern Coherence (CroPaC) algorithm. The performance of the proposed method is evaluated in a two- and three-speaker scenario with different reverberation times and angular distances of the interfering speaker. The signal-to-interference, signal-to-distortion, and signal-to-artifact ratios are used for evaluation. The results show that the proposed method can improve the spatial selectivity of the post-filter estimated with first-order beampatterns. Using first-order patterns only, it even achieves better spatial separation than the original CroPaC post-filter estimated using first- and second-order signals.
Original languageEnglish
Title of host publicationAudio Engineering Society Convention 2024, 157
PublisherAudio Engineering Society
Number of pages10
Publication statusAccepted/In press - 27 Sept 2024
MoE publication typeA4 Conference publication
EventAudio Engineering Society Convention - New York, United States
Duration: 8 Oct 202410 Oct 2024

Conference

ConferenceAudio Engineering Society Convention
Country/TerritoryUnited States
CityNew York
Period08/10/202410/10/2024

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