ACOUSTIC ROOM COMPENSATION USING LOCAL PCA-BASED ROOM AVERAGE POWER RESPONSE ESTIMATION

被引:1
|
作者
Jin, Wenyu [1 ]
McPherson, Patrick [1 ]
Pike, Chris [1 ]
Mehrabi, Adib [1 ]
机构
[1] Sonos Inc, Boston, MA 02111 USA
关键词
INTERPOLATION; INVERTIBILITY; DESIGN;
D O I
10.1109/IWAENC53105.2022.9914775
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Acoustic room compensation techniques, which allow a sound reproduction system to counteract undesired alteration to the sound scene due to excessive room resonances, have been extensively studied. Extensive efforts have been reported to enlarge the region over which room equalization is effective and to contrast variations of room transfer functions in space. A speaker-tuning technology "Trueplay" allows users to compensate for undesired room effects over an extended listening area based on a spatially averaged power response of the room, which is conventionally measured using microphones on portable devices when users move around the room. In this work, we propose a novel system that leverages measured speaker echo path self-responses to predict the room average power responses using a local PCA based approach. Experimental results confirm the effectiveness of the proposed estimation method, which further leads to a room compensation filter design that achieves a good sound similarity compared to the reference system with the ground-truth room average power response while outperforming other systems that do not use the proposed estimator.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Blind Estimation of Room Acoustic Parameters and Speech Transmission Index using MTF-based CNNs
    Duangpummet, Suradej
    Karnjana, Jessada
    Kongprawechnon, Waree
    Unoki, Masashi
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 181 - 185
  • [22] Local Reflectional Symmetry Detection in Point Clouds Using a Simple PCA-Based Shape Descriptor
    Hruda, Lukas
    Kolingerova, Ivana
    Podgorelec, David
    PROCEEDINGS OF THE 18TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2023, 2023, : 52 - 63
  • [23] An investigation of time delay estimation in room acoustic environment using magnitude ratio
    Hu, Jwu-Sheng
    Yang, Chia-Hsin
    Liu, Wei-Han
    SIGNAL PROCESSING, 2010, 90 (01) : 378 - 384
  • [24] Estimation of missing values in a food property database by matrix completion using PCA-based approaches
    Mercier, Samuel
    Mondor, Martin
    Marcos, Bernard
    Moresoli, Christine
    Villeneuve, Sebastien
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 166 : 37 - 48
  • [25] Data-driven local average room transfer function estimation for multi-point equalization
    Tuna, Cagdas
    Zevering, Annika
    Prinn, Albert G.
    Goetz, Philipp
    Walther, Andreas
    Habets, Emanuel A. P.
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2022, 152 (06): : 3635 - 3647
  • [26] ON THE ABILITY OF NORMAL-SIGHTED PERSONS TO ASSESS ROOM SIZE AND POSITION INSIDE THE ROOM BASED ON ITS ACOUSTIC RESPONSE
    Horvat, Marko
    Jambrosic, Kristian
    Francetic, Juraj
    Domitrovic, Hrvoje
    Rychtarikova, Monika
    Chmelik, Vojtech
    AKUSTIKA, 2015, 24 : 2 - 8
  • [27] Enhanced Solar Power Forecasting Using XG Boost and PCA-Based Sky Image Analysis
    Saraswat, Rahul
    Jhanwar, Deepak
    Gupta, Manish
    TRAITEMENT DU SIGNAL, 2024, 41 (01) : 503 - 510
  • [28] A new approach for acoustic visualization using directional impulse response in room acoustics
    Lim, Hansol
    Imran, Muhammad
    Jeon, Jin Yong
    BUILDING AND ENVIRONMENT, 2016, 98 : 150 - 157
  • [29] Indoor Object Identification based on Spectral Substraction of Acoustic Room Impulse Response
    Wang, Haitao
    Zeng, Xiangyang
    Lei, Ye
    Ren, Shuwei
    Hou, Feng
    Dong, Ningjuan
    2020 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2020), 2020,
  • [30] Surface roughness diagnosis in hard turning using acoustic signals and support vector machine: A PCA-based approach
    Papandrea, Pedro J.
    Frigieri, Edielson P.
    Maia, Paulo Roberto
    Oliveira, Lucas G.
    Paiva, Anderson P.
    Applied Acoustics, 2020, 159