Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments

We investigate the use of spherical cross-correlation as a similarity measure of sound radiation patterns, with potential applications for their study, organization, and manipulation. This work is motivated by the application of corpus-based synthesis techniques to spatial projection based on the ra...

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Main Authors: Carpentier Thibaut, Einbond Aaron
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:Acta Acustica
Subjects:
Online Access:https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220100/aacus220100.html
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author Carpentier Thibaut
Einbond Aaron
author_facet Carpentier Thibaut
Einbond Aaron
author_sort Carpentier Thibaut
collection DOAJ
description We investigate the use of spherical cross-correlation as a similarity measure of sound radiation patterns, with potential applications for their study, organization, and manipulation. This work is motivated by the application of corpus-based synthesis techniques to spatial projection based on the radiation patterns of orchestral instruments. To this end, we wish to derive spatial descriptors to complement other audio features available for the organization of the sample corpus. Considering two directivity functions on the sphere, their spherical correlation can be computed from their spherical harmonic coefficients. In addition, one can search for the 3-D rotation matrix which maximizes the cross-correlation, i.e. which offers the optimal spherical shape matching. The mathematical foundations of these tools are well established in the literature; however, their practical use in the field of acoustics remains relatively limited and challenging. As a proof of concept, we apply these techniques both to simulated radiation data and to measurements derived from an existing database of 3-D directivity patterns of orchestral instruments. Using these examples we present several test cases to compare the results of spherical correlation to mathematical and acoustical expectations. A range of visualization methods are applied to analyze the test cases, including multi-dimensional scaling, employed as an efficient technique for data reduction and navigation. This article is an extended version of a study previously published in [Carpentier and Einbond. 16th Congrès Français d’Acoustique (CFA), Marseille, France, April 2022, pp. 1–6. https://openaccess.city.ac.uk/id/eprint/28202/].
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spelling doaj.art-5eac4d5f897a47439af76f120003c6ec2023-08-21T08:59:05ZengEDP SciencesActa Acustica2681-46172023-01-0174010.1051/aacus/2023033aacus220100Spherical correlation as a similarity measure for 3-D radiation patterns of musical instrumentsCarpentier Thibaut0Einbond Aaron1https://orcid.org/0000-0003-1734-6641STMS Lab – IRCAM, CNRS, Sorbonne Université, Ministère de la CultureCity, University of LondonWe investigate the use of spherical cross-correlation as a similarity measure of sound radiation patterns, with potential applications for their study, organization, and manipulation. This work is motivated by the application of corpus-based synthesis techniques to spatial projection based on the radiation patterns of orchestral instruments. To this end, we wish to derive spatial descriptors to complement other audio features available for the organization of the sample corpus. Considering two directivity functions on the sphere, their spherical correlation can be computed from their spherical harmonic coefficients. In addition, one can search for the 3-D rotation matrix which maximizes the cross-correlation, i.e. which offers the optimal spherical shape matching. The mathematical foundations of these tools are well established in the literature; however, their practical use in the field of acoustics remains relatively limited and challenging. As a proof of concept, we apply these techniques both to simulated radiation data and to measurements derived from an existing database of 3-D directivity patterns of orchestral instruments. Using these examples we present several test cases to compare the results of spherical correlation to mathematical and acoustical expectations. A range of visualization methods are applied to analyze the test cases, including multi-dimensional scaling, employed as an efficient technique for data reduction and navigation. This article is an extended version of a study previously published in [Carpentier and Einbond. 16th Congrès Français d’Acoustique (CFA), Marseille, France, April 2022, pp. 1–6. https://openaccess.city.ac.uk/id/eprint/28202/].https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220100/aacus220100.htmlradiation patternsspherical acousticsrotational matching
spellingShingle Carpentier Thibaut
Einbond Aaron
Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
Acta Acustica
radiation patterns
spherical acoustics
rotational matching
title Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
title_full Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
title_fullStr Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
title_full_unstemmed Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
title_short Spherical correlation as a similarity measure for 3-D radiation patterns of musical instruments
title_sort spherical correlation as a similarity measure for 3 d radiation patterns of musical instruments
topic radiation patterns
spherical acoustics
rotational matching
url https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220100/aacus220100.html
work_keys_str_mv AT carpentierthibaut sphericalcorrelationasasimilaritymeasurefor3dradiationpatternsofmusicalinstruments
AT einbondaaron sphericalcorrelationasasimilaritymeasurefor3dradiationpatternsofmusicalinstruments