3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT/ML Algorithms

Simple item page
dc.article.number1011
dc.contributor.authorFiroozabadi A.D.
dc.contributor.authorIrarrazaval P.
dc.contributor.authorIrarrazaval P.
dc.contributor.authorIrarrazaval P.
dc.contributor.authorAdasme P.
dc.contributor.authorZabala-Blanco D.
dc.contributor.authorJativa P.P.
dc.contributor.authorAzurdia-Meza C.
dc.date.accessioned2024-01-10T12:37:07Z
dc.date.available2024-01-10T12:37:07Z
dc.date.issued2022
dc.description.abstract© 2022 by the authors. Licensee MDPI, Basel, Switzerland.Multiple simultaneous sound source localization (SSL) is one of the most important applications in the speech signal processing. The one-step algorithms with the advantage of low computational complexity (and low accuracy), and the two-step methods with high accuracy (and high computational complexity) are proposed for multiple SSL. In this article, a combination of one-step-based method based on the generalized eigenvalue decomposition (GEVD), and a two-step-based method based on the adaptive generalized cross-correlation (GCC) by using the phase transform/maximum likelihood (PHAT/ML) filters along with a novel T-shaped circular distributed microphone array (TCDMA) is proposed for 3D multiple simultaneous SSL. In addition, the low computational complexity advantage of the GCC algorithm is considered in combination with the high accuracy of the GEVD method by using the distributed microphone array to eliminate spatial aliasing and thus obtain more appropriate information. The proposed T-shaped circular distributed microphone array-based adaptive GEVD and GCC-PHAT/ML algorithms (TCDMA-AGGPM) is compared with hierarchical grid refinement (HiGRID), temporal extension of multiple response model of sparse Bayesian learning with spherical harmonic (SH) extension (SH-TMSBL), sound field morphological component analysis (SF-MCA), and time-frequency mixture weight Bayesian nonparametric acoustical holography beamforming (TF-MW-BNP-AHB) methods based on the mean absolute estimation error (MAEE) criteria in noisy and reverberant environments on simulated and real data. The superiority of the proposed method is presented by showing the high accuracy and low computational complexity for 3D multiple simultaneous SSL.
dc.description.funderANID
dc.description.funderFONDECYT
dc.fechaingreso.objetodigital2024-05-23
dc.fuente.origenScopus
dc.identifier.doi10.3390/s22031011
dc.identifier.issn14248220
dc.identifier.pubmedid35161757
dc.identifier.scopusidSCOPUS_ID:85123457753
dc.identifier.urihttps://doi.org/10.3390/s22031011
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76758
dc.information.autorucFacultad de Ingeniería; Irarrazaval Mena, Pablo; S/I; 57376
dc.issue.numero3
dc.language.isoen
dc.nota.accesoContenido completo
dc.publisherMDPI
dc.relation.ispartofSensors
dc.revistaSensors
dc.rightsacceso abierto
dc.subjectDirection of arrival estimation
dc.subjectEigenvalue decomposition
dc.subjectGeneralized cross-correlation
dc.subjectMicrophone arrays
dc.subjectSound source localization
dc.subjectTime delay estimation
dc.title3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT/ML Algorithms
dc.typeartículo
dc.volumen22
sipa.codpersvinculados57376
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT-ML Algorithms.pdf
Size:
4.74 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas