SOUND FIELD ESTIMATION IN REGION INCLUDING SCATTERING OBJECTS BASED ON KERNEL INTERPOLATION: EVALUATION FOR VARIOUS SCATTERERS

被引:0
作者
Kozuka, Shihori [1 ]
Koyama, Shoichi [2 ]
Itou, Hiroaki [1 ]
Kamado, Noriyoshi [1 ]
机构
[1] NTT Corp, NTT Comp & Data Sci Labs, Tokyo, Japan
[2] Natl Inst Informat, Digital Content & Media Sci Res Div, Tokyo, Japan
来源
2024 18TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT, IWAENC 2024 | 2024年
关键词
sound field estimation; scattering field; kernel ridge regression; spherical wave function expansion; ACTIVE NOISE-CONTROL; MICROPHONES;
D O I
10.1109/IWAENC61483.2024.10694564
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A method for estimating the incident sound field in a region containing scattering objects is extensively evaluated for various scatterers. Estimating a sound field using multiple microphones has a wide variety of applications, e.g., spatial audio capturing and spatial active noise control. Most current methods do not allow the inclusion of any scattering objects or allow only the inclusion of scattering objects of known properties. An incident sound field estimation method in a region including scattering objects of unknown properties has recently been proposed, which has high practical potential in the above-mentioned applications. However, its experimental evaluation is limited to a simple rigid spherical object even though various types of scatterers can be present in practical situations. We evaluate the incident sound field estimation method for various types of scatters in numerical simulations using the boundary element method. Experimental results indicated that the appropriate design of the weighting matrix for expansion coefficients can further improve the estimation accuracy.
引用
收藏
页码:324 / 328
页数:5
相关论文
共 24 条
[1]   Spherical Harmonic Decomposition of a Sound Field Using Microphones on a Circumferential Contour Around a Non-Spherical Baffle [J].
Ahrens, Jens ;
Helmholz, Hannes ;
Alon, David Lou ;
Amengual Gari, Sebastia V. .
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 30 :3110-3119
[2]   Compressive Sensing in Acoustic Imaging [J].
Bertin, Nancy ;
Daudet, Laurent ;
Emiya, Valentin ;
Gribonval, Remi .
COMPRESSED SENSING AND ITS APPLICATIONS, 2015, :169-192
[3]  
Chen X., 2004, Spherical t-design with d = (t + 1) 2 points
[4]  
Colton D., 2019, Inverse Acoustic and Electromagnetic Scattering Theory
[5]  
Härmä A, 2004, J AUDIO ENG SOC, V52, P618
[6]   Binaural rendering from microphone array signals of arbitrary geometry [J].
Iijima, Naoto ;
Koyama, Shoichi ;
Saruwatari, Hiroshi .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2021, 150 (04) :2479-2491
[7]   KERNEL INTERPOLATION OF INCIDENT SOUND FIELD IN REGION INCLUDING SCATTERING OBJECTS [J].
Koyama, Shoichi ;
Nakada, Masaki ;
Ribeiro, Juliano G. C. ;
Saruwatari, Hiroshi .
2023 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS, WASPAA, 2023,
[8]   Weighted Pressure and Mode Matching for Sound Field Reproduction: Theoretical and Experimental Comparisons [J].
Koyama, Shoichi ;
Kimura, Keisuke ;
Ueno, Natsuki .
JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 2023, 71 (04) :173-185
[9]   Spatial Active Noise Control Based on Kernel Interpolation of Sound Field [J].
Koyama, Shoichi ;
Brunnstrom, Jesper ;
Ito, Hayato ;
Ueno, Natsuki ;
Saruwatari, Hiroshi .
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 29 :3052-3063
[10]  
Laborie A., 2003, P 114 AES CONV