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
  • [21] 3D Acoustic Manipulation of Living Cells and Organisms Based On 2D Array
    Yang, Ye
    Ma, Teng
    Zhang, Qi
    Huang, Jiqing
    Hu, Qi
    Li, Yongchuan
    Wang, Congzhi
    Zheng, Hairong
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 69 (07) : 2342 - 2352
  • [22] 3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array
    Yu, Liang
    Liu, Huimin
    Chu, Ning
    Mohammad-Djafari, Ali
    Yang, Weihua
    IEEE SIGNAL PROCESSING LETTERS, 2023, 30 : 518 - 522
  • [23] 3D Room Geometry Inference Using a Linear Loudspeaker Array and a Single Microphone
    Tuna, Cagdas
    Canclini, Antonio
    Borra, Federico
    Gotz, Philipp
    Antonacci, Fabio
    Walther, Andreas
    Sarti, Augusto
    Habets, Emanuel A. P.
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2020, 28 : 1729 - 1744
  • [24] 2D Optical Phased Arrays for Laser Beam Steering Based On 3D Polymer Photonic Integrated Circuits
    Raptakis, Adam
    Gounaridis, Lefteris
    Weigel, Madeleine
    Kleinert, Moritz
    Georgiopoulos, Michalis
    Mylonas, Elias
    Groumas, Panos
    Tsokos, Christos
    Keil, Norbert
    Avramopoulos, Hercules
    Kouloumentas, Christos
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (20) : 6509 - 6523
  • [25] Learning 3D Deformation of Animals from 2D Images
    Kanazawa, Angjoo
    Kovalsky, Shahar
    Basri, Ronen
    Jacobs, David
    COMPUTER GRAPHICS FORUM, 2016, 35 (02) : 365 - 374
  • [26] 3D surface configuration modulates 2D symmetry detection
    Chen, Chien-Chung
    Sio, Lok-Teng
    VISION RESEARCH, 2015, 107 : 86 - 93
  • [27] Semantic Scene Completion With 2D and 3D Feature Fusion
    Park, Sang-Min
    Ha, Jong-Eun
    IEEE ACCESS, 2024, 12 : 141594 - 141603
  • [28] 3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency?
    Song, Ran
    Zhang, Wei
    Zhao, Yitian
    Liu, Yonghuai
    Rosin, Paul L.
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (11) : 13083 - 13099
  • [29] Realigning 2D and 3D Object Fragments without Correspondences
    Domokos, Csaba
    Kato, Zoltan
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 38 (01) : 195 - 202
  • [30] A theoretical 2D image model for locating 3D targets
    Mao, Jiafa
    Xiao, Gang
    Sheng, Weiguo
    Hayat, Tasawar
    Liu, Xiaohui
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2017, 94 (07) : 1430 - 1450