Design of 2D and 3D Differential Microphone Arrays With a Multistage Framework

被引:4
作者
Zhao, Xudong [1 ,2 ]
Huang, Gongping [3 ]
Chen, Jingdong [1 ,2 ]
Benesty, Jacob [4 ]
机构
[1] Northwestern Polytech Univ, Ctr Intelligent Acoust & Immers Commun, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Shaanxi Prov Key Lab Artificial Intelligence, Xian 710072, Peoples R China
[3] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China
[4] Univ Quebec, INRS EMT, Montreal, PQ H5A 1K6, Canada
基金
美国国家科学基金会;
关键词
Three-dimensional displays; Array signal processing; Acoustics; Microphone arrays; Speech processing; Acoustic arrays; Shape; Differential beamforming; microphone arrays; beampattern; 2D arrays; 3D arrays; CONCENTRIC CIRCULAR ARRAYS; BEAMFORMERS; DIRECTIVITY;
D O I
10.1109/TASLP.2023.3278182
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Differential microphone arrays (DMAs) have demonstrated a great potential for high-fidelity acoustic and speech signal acquisition in a wide range of applications since such arrays are able to achieve frequency-invariant beampatterns with high directivity. Consequently, a great number of efforts have been devoted to the design of DMAs and the associated beamformers in the literature. However, most of the methods only work for arrays with particular topologies, e.g., linear, circular, concentric circular, and spherical ones. How to design general two-dimensional (2D) and three-dimensional (3D) DMAs that can measure the desired differential sound field and form the desired spatial response in the 3D space remains an unsolved problem. This article investigates this problem and presents a multistage design approach. The major contributions of this work are as follows. First, we reexamine the differentials of the acoustic pressure field in the 3D space and derive the general expression of the directivity patterns resulting from the spatial differential operation, which serves as the foundation for differential beamforming with 2D or 3D microphone arrays. Second, we present a multistage approach to the design of 2D and 3D DMAs, and deduce the relationship between the global beamformer and the beamformers at different stages as well as the relationship between their beampatterns. Third, several algorithms are presented for the design of differential as well as robust differential beamformers in this multistage framework. Simulation results validate the proposed approach and justifies its properties.
引用
收藏
页码:2016 / 2031
页数:16
相关论文
共 50 条
  • [31] Estimation of 3D rotation of femur in 2D hip radiographs
    Vaananen, Sami P.
    Isaksson, Hanna
    Waarsing, Jan H.
    Zadpoor, Amir Abbas
    Jurvelin, Jukka S.
    Weinans, Harrie
    JOURNAL OF BIOMECHANICS, 2012, 45 (13) : 2279 - 2283
  • [32] Design of robust differential microphone arrays with orthogonal polynomials
    Pan, Chao
    Benesty, Jacob
    Chen, Jingdong
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2015, 138 (02) : 1079 - 1089
  • [33] On the design of time-domain differential microphone arrays
    Buchris, Yaakov
    Cohen, Israel
    Benesty, Jacob
    APPLIED ACOUSTICS, 2019, 148 : 212 - 222
  • [34] Ear recognition in 3D using 2D curvilinear features
    Ganapathi, Iyyakutti Iyappan
    Prakash, Surya
    Dave, Ishan Rajendra
    Joshi, Piyush
    Ali, Syed Sadaf
    Shrivastava, Akhilesh Mohan
    IET BIOMETRICS, 2018, 7 (06) : 519 - 529
  • [35] Consolidated 2D Mechanical Design and Preliminary 3D Design Phase of the Superconducting Ion Gantry (SIG) Dipole for Hadrontherapy
    Bianchi, E.
    Farinon, S.
    Felcini, E.
    Gagno, A.
    Gentini, L.
    Georgiadis, I.
    Kavoura, E. O.
    Kokkinos, C.
    Levi, F.
    Musenich, R.
    Pampaloni, A.
    Perini, D.
    Prioli, M.
    Pullia, M.
    Rossi, L.
    Santini, C.
    Valente, R. U.
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2025, 35 (05)
  • [36] Printing Wearable Devices in 2D and 3D: An Overview on Mechanical and Electronic Digital Co-design
    Tansaz, Samira
    Baronetto, Annalisa
    Zhang, Rui
    Derungs, Adrian
    Amft, Oliver
    IEEE PERVASIVE COMPUTING, 2019, 18 (04) : 38 - 50
  • [37] SSR-2D: Semantic 3D Scene Reconstruction From 2D Images
    Huang, Junwen
    Artemov, Alexey
    Chen, Yujin
    Zhi, Shuaifeng
    Xu, Kai
    Niessner, Matthias
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (12) : 8486 - 8501
  • [38] 3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild
    Tu, Xiaoguang
    Zhao, Jian
    Xie, Mei
    Jiang, Zihang
    Balamurugan, Akshaya
    Luo, Yao
    Zhao, Yang
    He, Lingxiao
    Ma, Zheng
    Feng, Jiashi
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 23 (23) : 1160 - 1172
  • [39] Global Beautification of 2D and 3D Layouts With Interactive Ambiguity Resolution
    Xu, Pengfei
    Yan, Guohang
    Fu, Hongbo
    Igarashi, Takeo
    Tai, Chiew-Lan
    Huang, Hui
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 27 (04) : 2355 - 2368
  • [40] Cartesian Partitioning Models for 2D and 3D Parallel SpGEMM Algorithms
    Demirci, Gunduz Vehbi
    Aykanat, Cevdet
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2020, 31 (12) : 2763 - 2775