The purpose of this article is to detail and evaluate three alternative approaches to soundfield visualization, which all employ the use of spatially localized active-intensity (SLAI) vectors. These SLAI vectors are of particular interest, as they allow direction-of-arrival (DoA) estimates to be extracted in multiple spatially localized sectors, such that a sound source present in one sector has reduced influence on the DoA estimate made in another sector. These DoA estimates may be used to visualize the sound-field by either: (I) directly depicting the estimates as icons, with their relative size dictated by the corresponding energy of each sector; (II) generating traditional activity maps via histogram analysis of the DoA estimates; or (III) by using the DoA estimates to reassign energy and subsequently sharpen traditional beamformer-based activity maps. Since the SLAI-based DoA estimates are continuous, these approaches are inherently computationally efficient, as they forego the need for dense scanning grids to attain high-resolution imaging. Simulation results also show that these SLAI-based alternatives outperform traditional active-intensity and beamformer-based approaches, for the majority of cases.

Applications of Spatially Localized Active-Intensity Vectors for Sound-Field Visualization / McCormack, L.; Delikaris-Manias, S.; Politis, A.; Pavlidi, D.; Farina, A.; Pinardi, D.; Pulkki, V.. - In: AES. - ISSN 1549-4950. - 67:11(2019), pp. 840-854. [10.17743/jaes.2019.0041]

Applications of Spatially Localized Active-Intensity Vectors for Sound-Field Visualization

A. Farina
Supervision
;
D. Pinardi
Investigation
;
2019

Abstract

The purpose of this article is to detail and evaluate three alternative approaches to soundfield visualization, which all employ the use of spatially localized active-intensity (SLAI) vectors. These SLAI vectors are of particular interest, as they allow direction-of-arrival (DoA) estimates to be extracted in multiple spatially localized sectors, such that a sound source present in one sector has reduced influence on the DoA estimate made in another sector. These DoA estimates may be used to visualize the sound-field by either: (I) directly depicting the estimates as icons, with their relative size dictated by the corresponding energy of each sector; (II) generating traditional activity maps via histogram analysis of the DoA estimates; or (III) by using the DoA estimates to reassign energy and subsequently sharpen traditional beamformer-based activity maps. Since the SLAI-based DoA estimates are continuous, these approaches are inherently computationally efficient, as they forego the need for dense scanning grids to attain high-resolution imaging. Simulation results also show that these SLAI-based alternatives outperform traditional active-intensity and beamformer-based approaches, for the majority of cases.
Applications of Spatially Localized Active-Intensity Vectors for Sound-Field Visualization / McCormack, L.; Delikaris-Manias, S.; Politis, A.; Pavlidi, D.; Farina, A.; Pinardi, D.; Pulkki, V.. - In: AES. - ISSN 1549-4950. - 67:11(2019), pp. 840-854. [10.17743/jaes.2019.0041]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2866890
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