Journal
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Volume -, Issue -, Pages 576-580Publisher
IEEE
DOI: 10.1109/ICASSP43922.2022.9746842
Keywords
Acoustic transfer function; Helmholtz equation; kernel ridge regression; directional weighting; hyperparameter optimization
Funding
- JSPS KAKENHI [JP19H01116]
- JST PRESTO [JPMJPR18J4]
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A method for interpolating the acoustic transfer function (ATF) between regions, taking into account the physical properties and directionality of the ATF, is proposed. By using a kernel method and incorporating directional weights, the ATFs for both source and receiver regions can be accurately estimated.
A method of interpolating the acoustic transfer function (ATF) between regions that takes into account both the physical properties of the ATF and the directionality of region configurations is proposed. Most spatial ATF interpolation methods are limited to estimation in the region of receivers. A kernel method for region-to-region ATF interpolation makes it possible to estimate the ATFs for both source and receiver regions from a discrete set of ATF measurements. We newly formulate the reproducing kernel Hilbert space and associated kernel function incorporating directional weight to enhance the interpolation accuracy. We also investigate hyperparameter optimization methods for this kernel function. Numerical experiments indicate that the proposed method outperforms the method without the use of directional weighting.
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