Kernel interpolation of acoustic transfer function between regions considering reciprocity
ID:45 Submission ID:246 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:410 Oral Presentation

Start Time:2020-06-09 15:00 (Asia/Shanghai)

Duration:20min

Session:[R] Regular Session » [R13] Sensor Networks and Adaptive Processing

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Abstract
A method for interpolating the acoustic transfer function (ATF) between predetermined source and receiver regions is proposed. A previous work has shown that the region-to-region ATF can be estimated by separating it into a reverberant component added to a given direct component and representing the reverberant component with a finite sum of spherical wavefunctions. Our proposed method is based on the kernel ridge regression for estimating the reverberant component with a reproducing kernel Hilbert space defined to include acoustic properties into the interpolation. The proposed method based on the infinite dimensional expansion into spherical wavefunctions is independent of the empirical truncation used in the previous method. Furthermore, by taking the acoustic reciprocity into consideration, more accurate estimations are possible with a limited set of measurements compared to the truncation-based method. The advantages of the proposed method were validated by experiments based on a three-dimensional acoustic simulation.
Keywords
acoustic transfer function; kernel ridge regression; reproducing kernel Hilbert space; soundfield interpolation; Helmholtz equation
Speaker
Juliano Ribeiro
The University of Tokyo, Japan

Submission Author
Juliano Ribeiro The University of Tokyo, Japan
Natsuki Ueno The University of Tokyo, Japan
Shoichi Koyama The University of Tokyo, Japan
Hiroshi Saruwatari The University of Tokyo, Japan
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