Sound source directivity estimation via a spherical wave decomposition of the radiated field : application to human voice directivity measurements

The experimental evaluation of the directivity of a nonrepeatable sound source necessitates the simultaneous acquisition of signals from microphones distributed on a sphere centered on the source with a high spatial resolution.Placing a high number of microphones at precise, pre-determined positions is a laborious task that is subject to inaccuracies.The Helmholtz Equation Least Squares (HELS) method is an imaging technique originally used in near-field acoustic holography.This method involves decomposing the sound field measured around a source into a basis of functions that solve the Helmholtz equation.Once this decomposition has been identified, any acoustic quantity can be reconstructed around the source.Recent simulated and experimental studies have demonstrated that the HELS method consistently estimates the far-field directivity of a sound source from measurements performed on an arbitrary surface around the source.The present study utilizes a sphere-like array of 3 m-diameter and around 600 MEMS microphones installed in an anechoical room to measure the directivity of a reference sound source.The truncation order of the basis function

Authors

Institutions

Publication Details

Published
2025-12-25
DOI
https://doi.org/10.61782/fa.2025.0789
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sound source directivity estimation via a spherical wave decomposition of the radiated field : application to human voice directivity measurements

Paul Luizard, Cédric Pinhède, Christian Ollivon, Hélène Moingeon et al.
Speech and Audio Processing
article

Sound source directivity estimation via a spherical wave decomposition of the radiated field : application to human voice directivity measurements

Paul Luizard, Cédric Pinhède, Christian Ollivon, Hélène Moingeon, Marc Pachebat, Matthieu Hartenstein, François Ollivier, Fabrice Silva
article en

Abstract

The experimental evaluation of the directivity of a nonrepeatable sound source necessitates the simultaneous acquisition of signals from microphones distributed on a sphere centered on the source with a high spatial resolution.Placing a high number of microphones at precise, pre-determined positions is a laborious task that is subject to inaccuracies.The Helmholtz Equation Least Squares (HELS) method is an imaging technique originally used in near-field acoustic holography.This method involves decomposing the sound field measured around a source into a basis of functions that solve the Helmholtz equation.Once this decomposition has been identified, any acoustic quantity can be reconstructed around the source.Recent simulated and experimental studies have demonstrated that the HELS method consistently estimates the far-field directivity of a sound source from measurements performed on an arbitrary surface around the source.The present study utilizes a sphere-like array of 3 m-diameter and around 600 MEMS microphones installed in an anechoical room to measure the directivity of a reference sound source.The truncation order of the basis function

Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), GIPSA-Lab (FR), Laboratoire de Mécanique et d’Acoustique (FR), Institut Jean Le Rond d'Alembert (FR), Technische Universität Berlin (DE)
Agence Nationale de la Recherche
Openalex Percentile: Top 55%
Speech and Audio Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.