Enhancing Spatial Post-Filters through Non-Linear Combinations

Wirler S, Meyer-Kahlen N, Pulkki V. Enhancing Spatial Post-Filters through Non-Linear Combinations. In: Convention Paper. Audio Engineering Society; 2024. Paper 10182. Available from: https://aes.org/publications/elibrary-page/?id=22685

@inproceedings{Wirler2024_22685,
  author = {Wirler, Stefan and Meyer-Kahlen, Nils and Pulkki, Ville},
  title = {{Enhancing Spatial Post-Filters through Non-Linear Combinations}},
  note = {Paper 10182},
  year = {2024},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22685}
}

TY  - CPAPER
TI  - Enhancing Spatial Post-Filters through Non-Linear Combinations
AU  - Wirler, Stefan
AU  - Meyer-Kahlen, Nils
AU  - Pulkki, Ville
M1  - Paper 10182
PY  - 2024
DA  - 2024/09/27
UR  - https://aes.org/publications/elibrary-page/?id=22685
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -