2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDAUD-6.5
Paper Title KERNEL-INTERPOLATION-BASED FILTERED-X LEAST MEAN SQUARE FOR SPATIAL ACTIVE NOISE CONTROL IN TIME DOMAIN
Authors Jesper Brunnström, Shoichi Koyama, University of Tokyo, Japan
SessionAUD-6: Active Noise Control, Echo Reduction, and Feedback Reduction 2: Active Noise Control and Echo Cancellation
LocationGather.Town
Session Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Time:Tuesday, 08 June, 16:30 - 17:15
Presentation Poster
Topic Audio and Acoustic Signal Processing: [AUD-SARR] Spatial Audio Recording and Reproduction
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Time-domain spatial active noise control (ANC) algorithms based on kernel interpolation of a sound field are proposed. Spatial ANC aims to suppress a primary noise field in a region by synthesizing an anti-noise field using secondary loudspeakers. In contrast to the multipoint pressure control by conventional ANC methods, it is necessary to estimate a sound field from microphone measurements at discrete positions. A promising approach is the kernel-interpolation-based spatial ANC method, which allows for flexible array configurations. However, most of the current methods are formulated only in the frequency domain, which cannot handle broadband noise with straightforward implementation. We formulate two time-domain spatial ANC algorithms based on kernel interpolation using a spatial interpolation filter defined by the kernel function. Numerical simulation results indicate that our filtered-x least-mean-square-based algorithms are effective for reducing nonstationary broadband noise in a region, as compared with multipoint pressure control.