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Spherical-sector harmonics domain processing for wideband source localization using spherical-sector array of directional microphones
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (AI Sound)ORCID iD: 0000-0002-7213-7626
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0002-8253-7535
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-). (AI Sound)
2023 (English)In: Journal of the Acoustical Society of America, ISSN 0001-4966, E-ISSN 1520-8524, Vol. 153, no 3_supplement, p. A54-A54Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

The spherical microphone array can be uneconomical for applications where the sources arrive only from a known section of the sphere. For this reason, the spherical-sector harmonics was developed for processing spherical sector array. The orthonormal spherical sector harmonics (SSH) basis functions which accounts for the discontinuity arising from sectioning the sphere have been developed and shown to work for the array of omnidirectional microphones. In this work, the SSH basis functions are applied to far-field wideband sound source localization using spherical-sector array of first-order directional microphones (cardioid microphones). The array manifold interpolation method is used to produce the steered covariance matrix and the MUSIC algorithm applied for the direction of arrival estimation. The root-mean-square error performance of this spherical-sector array of the first-order cardioid microphones is compared against that of the omnidirectional microphones for different directions and signal-to-noise ratio.

Place, publisher, year, edition, pages
Acoustical Society of America (ASA) , 2023. Vol. 153, no 3_supplement, p. A54-A54
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-50017DOI: 10.1121/10.0018140OAI: oai:DiVA.org:miun-50017DiVA, id: diva2:1816510
Conference
184th Meeting of the Acoustical Society of America, Chicago, United of America
Available from: 2023-12-02 Created: 2023-12-02 Last updated: 2024-02-19Bibliographically approved

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Nnonyelu, Chibuzo JosephJiang, MengLundgren, Jan

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Signal Processing

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  • apa
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