TY - JOUR
T1 - Enhancement of spatial sound recordings by adding virtual microphones to spherical microphone arrays
AU - Salvador, César D.
AU - Sakamoto, Shuichi
AU - Treviño, Jorge
AU - Suzuki, Yôiti
N1 - Funding Information:
Acknowledgment. A part of this study was supported by a JSPS Grant-in-Aid for Scientific Research (nos. 24240016 and 16H01736) and the A3 Foresight Program for “Ultra-realistic acoustic interactive communication on next-generation Internet.”
Publisher Copyright:
© 2017, Ubiquitous International. All rights reserved.
PY - 2017/11
Y1 - 2017/11
N2 - Spherical microphone arrays mounted on a rigid spherical baffle effectively capture acoustic environments for their reconstruction by sensing the space in all directions. The array signals are further encoded for their scalable processing using the spherical Fourier transform. Recent spatial sound applications are demanding arrays with a large number of microphones. However, physically increasing the spatial resolution of available arrays is not always feasible. In environments such as conference rooms or concert halls the source positions are often confined to a small region of space. When prior knowledge about source positions is assumed, the pressure generated at any point on the baffle can be estimated with a physical model of the rigid sphere. In this paper, the rigid sphere model is used to define a surface pressure variation function that relates the pressure at two arbitrary points on the baffle. Based on this function, a spatial resolution enhancement method for spherical arrays is proposed, which aims to add virtual microphones to the array by synthesizing recording of signals at positions without microphones. The proposal constitutes a preprocessing stage intended to be applied before array signal encoding. Numerical experiments show that the enhancement of spatial resolution is possible all over the sphere if the number of real microphones is sufficiently large.
AB - Spherical microphone arrays mounted on a rigid spherical baffle effectively capture acoustic environments for their reconstruction by sensing the space in all directions. The array signals are further encoded for their scalable processing using the spherical Fourier transform. Recent spatial sound applications are demanding arrays with a large number of microphones. However, physically increasing the spatial resolution of available arrays is not always feasible. In environments such as conference rooms or concert halls the source positions are often confined to a small region of space. When prior knowledge about source positions is assumed, the pressure generated at any point on the baffle can be estimated with a physical model of the rigid sphere. In this paper, the rigid sphere model is used to define a surface pressure variation function that relates the pressure at two arbitrary points on the baffle. Based on this function, a spatial resolution enhancement method for spherical arrays is proposed, which aims to add virtual microphones to the array by synthesizing recording of signals at positions without microphones. The proposal constitutes a preprocessing stage intended to be applied before array signal encoding. Numerical experiments show that the enhancement of spatial resolution is possible all over the sphere if the number of real microphones is sufficiently large.
KW - 3D audio technology
KW - Array signal processing
KW - Sound field interpolation
KW - Sound field recording
KW - Spherical acoustics
KW - Spherical microphone arrays
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M3 - Article
AN - SCOPUS:85032821677
SN - 2073-4212
VL - 8
SP - 1392
EP - 1404
JO - Journal of Information Hiding and Multimedia Signal Processing
JF - Journal of Information Hiding and Multimedia Signal Processing
IS - 6
ER -