Conveners
A17.07 Source directivity and sound source identification: S126
- Matthieu Hartenstein (L2S, CentraleSupélec)
- Samuel D. Bellows (University of Utah Asia Campus)
A17.07 Source directivity and sound source identification: P495
- Matthieu Hartenstein (L2S, CentraleSupélec)
- Samuel D. Bellows (University of Utah Asia Campus)
A17.07 Source directivity and sound source identification: S396
- Samuel D. Bellows (University of Utah Asia Campus)
- Matthieu Hartenstein (L2S, CentraleSupélec)
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Péter Fiala (Budapest University of Technology and Economics)09/09/2026, 08:40A17 Signal Processing
Blind Source Separation (BSS) is a long-standing signal processing problem where individual signals cannot be observed separately, only as noisy mixtures produced by an unknown mixing system. The objective is to recover the original sources as efficiently as possible. This problem is highly relevant in telecommunications, medical signal processing, and acoustics, and has been widely studied in...
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Art J.R. Pelling (Technische Universität Berlin)09/09/2026, 09:00A17 Signal Processing
Acoular is an open-source Python toolkit for analyzing multichannel recordings from microphone and sensor arrays. Widely used by researchers and engineers, it supports beamforming, deconvolution, source localization and general signal analysis across aeroacoustics, automotive, environmental and bioacoustic applications. Its modular, extensible design lets users adapt and extend functionality,...
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Alessandro Di Marco (Universita degli Studi Roma Tre)09/09/2026, 09:00A17 Signal Processing
The rapid proliferation of Unmanned Aerial Vehicles (UAVs) demands advanced diagnostic tools to analyze rotor-generated noise. While acoustic imaging via phased arrays is widely used, standard static geometries fail to suppress spatial aliasing across varying UAV rotational speeds and complex spectral signatures. Building upon wavelet-based beamforming methodologies for high-speed rotating...
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Adam Kujawski (Technische Universität Berlin)09/09/2026, 09:00A17 Signal Processing
This poster presents two complementary extensions to Acoular that streamline interactive exploration and reproducible dataset creation for acoustic research.SpectAcoular is a Bokeh-based GUI layer for Acoular that exposes interactive widgets and prebuilt applications via the web browser. By delegating rendering and event handling to a high-level JavaScript stack, SpectAcoular enables...
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Matthieu Hartenstein (L2S, CentraleSupélec)09/09/2026, 09:20A17 Signal Processing
Most studies on acoustical source localization focus on estimating directions of arrival (DOAs) of far-field source, or localization of sources in a plane parallel to the array. Nevertheless, in several applications, an estimate of the source-array distance is desirable, such as the localization of drones. Numerical and experimental studies on source localization have evidenced that distance...
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Jakob Tschavoll (Technische Universität Berlin)09/09/2026, 09:40A17 Signal Processing
Many acoustic direction-of-arrival (DoA) algorithms rely on digital beamforming with omnidirectional receivers, which demands the highest computational load per method when applied to a full-sphere focus grid. Conventional methods often neglect the spatial filter characteristics inherent in passive acoustic gain patterns, which are standard in studio microphones. This work introduces a...
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Muhammad N. Albezzawy (DAAA, ONERA)09/09/2026, 10:00A17 Signal Processing
This paper investigates the limits of acoustic source localization when using multipole-based models in a two-dimensional cylindrical-wave framework. A small displacement of a monopolar sound source generates additional spatial patterns beyond the basic monopole field. These patterns carry essential information about the source position. When estimating the source location from noisy...
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Matthieu Hartenstein (L2S, CentraleSupélec)09/09/2026, 10:40A17 Signal Processing
When available, the spherical wave decomposition (SWD) of a sound source can be used to reconstruct the acoustic field radiated by this source. SWD coefficients are usually determined by fitting distributed pressure measurements taken around the source using a regularized least-squares inversion. The performance of this method critically depends on the adequate tuning of the SWD truncation...
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Samuel D. Bellows (University of Utah Asia Campus)09/09/2026, 11:00A17 Signal Processing
Quantifying voice radiation is essential for applications such as telecommunications, room acoustic modeling, and virtual reality. However, the precise directional characteristics of speech can be complex due to phoneme-dependent variations and movements of the head and torso. This work proposes a feed-forward neural network to predict dynamic voice directivity patterns in the horizontal plane...
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Paul Luizard (Audio Communication Group, Technische Universität Berlin)09/09/2026, 11:20A17 Signal Processing
Speech directivity has been methodically studied in theatrical design for centuries, and more precisely characterised using electroacoustic measurements for nearly a century. More recently, measurement systems comprising several dozen microphones have enabled detailed characterization of individual phonemes across different languages. It nonetheless remains unclear how the directivity of...
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Allison Trine (University of Illinois Urbana-Champaign)09/09/2026, 11:40A17 Signal Processing
Sound source directivity plays a role in perception, including for scene analysis and speech recognition in complex acoustic environments. For example, speech directivity cues enhance target speech recognition when the target faces the listener and masker talkers face away from the listener. We examined this effect of speech directivity on target speech recognition as a function of masker head...
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