Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival WeightingView Publication
Active noise control (ANC) over a sizeable space ideally requires uniformly distributed sensors and secondary sources, which limits the feasibility of practically realizing such systems. In this paper, we propose a direction of arrival (DOA) weighting algorithm for the adaptive filter update, which prioritizes residual error control with respect to the array geometry. Array geometries utilizing multiple horizontal rings, which are considered as more practical than spherical array geometries, are introduced into both sensors and secondary sources. Numerical simulations indicate that the proposed method using multiple-horizontal-ring arrays gives higher noise attenuation performance than the conventional method. The DOA weighting can be intuitively defined on the basis of the secondary source array geometry without any prior information of the primary noise field.
Related PublicationsView All
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Kazuki Shimada, Archontis Politis*, Parthasaarathy Sudarsanam*, Daniel Krause*, Kengo Uchida, Sharath Adavanne*, Aapo Hakala*, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen*, Yuki MitsufujiWhile direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded […]
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer
Keisuke Toyama, Taketo Akama, Yukara Ikemiya, Yuhta Takida, Wei-Hsiang Liao, Yuki MitsufujiTaking long-term spectral and temporal dependencies into account is essential for automatic piano transcriptio […]