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 language | English |
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Title of host publication | Audio Engineering Society Convention 2024, 157 |
Publisher | Audio Engineering Society |
Number of pages | 10 |
Publication status | Accepted/In press - 27 Sept 2024 |
MoE publication type | A4 Conference publication |
Event | Audio Engineering Society Convention - New York, United States Duration: 8 Oct 2024 → 10 Oct 2024 |
Conference
Conference | Audio Engineering Society Convention |
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Country/Territory | United States |
City | New York |
Period | 08/10/2024 → 10/10/2024 |