A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization

Hogg, Aidan O. T. and Neo, Vincent W. and Weiss, Stephan and Evers, Christine and Naylor, Patrick A. (2021) A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - WASPAA 2021, 2021-10-17 - 2021-10-20. (https://doi.org/10.1109/WASPAA52581.2021.9632789)

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Abstract

Direction of arrival (DoA) estimation for sound source localization is increasingly prevalent in modern devices. In this paper, we explore a polynomial extension to the multiple signal classification (MUSIC) algorithm, spatio-spectral polynomial MUSIC (SSP-MUSIC), and evaluate its performance when using speech sound sources. The paper includes an analysis of SSP-MUSIC using speech signals in a simulated room for different conditions in terms of diffuse noise and reverberation. SSP-MUSIC is also evaluated on the first task of the LOCATA challenge. This paper shows that SSP-MUSIC is more robust to noise and reverberation compared to independent frequency bin (IFB) approaches, and improvements can be seen for single sound source localization at signal-to-noise ratio (SNR) values lower than 5 dB and reverberation time (T60) values larger than 0.7 s.

ORCID iDs

Hogg, Aidan O. T., Neo, Vincent W., Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206, Evers, Christine and Naylor, Patrick A.;
  • Item type:Conference or Workshop Item(Paper)
    ID code:77304
    Dates:
    Date
    Event
    20 October 2021
    Published
    14 July 2021
    Accepted
    Notes:© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:05 Aug 2021 09:42
    Last modified:11 Nov 2024 17:04
    URI:https://strathprints.strath.ac.uk/id/eprint/77304
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