Spatial audio and virtual acoustics research heavily rely on measurement-based datasets of impulse responses to model and simulate real-world environments. Churches, in particular, are of significant interest due to their large, reverberant spaces and complex sound propagation characteristics. To this aim, we introduce ChurchIR, a dataset of church impulse responses acquired for spatial audio applications. The dataset has been captured using a 4th-order microphone and an omnidirectional microphone at thirty receiver positions for three different source locations. Key acoustic metrics and descriptors, including octave-band reverberation times and pseudo-spectra for source localization, are presented to characterize the dataset. ChurchIR offers researchers and developers a resource for spatial audio reproduction and analysis, providing them with data crucial for applications in immersive audio rendering, virtual reality, and architectural acoustics.

ChurchIR: A Dataset of Multichannel Church Impulse Responses for Spatial Audio Applications

Riccardo Giampiccolo;Sofia Parrinelli;Fabio Antonacci
2025-01-01

Abstract

Spatial audio and virtual acoustics research heavily rely on measurement-based datasets of impulse responses to model and simulate real-world environments. Churches, in particular, are of significant interest due to their large, reverberant spaces and complex sound propagation characteristics. To this aim, we introduce ChurchIR, a dataset of church impulse responses acquired for spatial audio applications. The dataset has been captured using a 4th-order microphone and an omnidirectional microphone at thirty receiver positions for three different source locations. Key acoustic metrics and descriptors, including octave-band reverberation times and pseudo-spectra for source localization, are presented to characterize the dataset. ChurchIR offers researchers and developers a resource for spatial audio reproduction and analysis, providing them with data crucial for applications in immersive audio rendering, virtual reality, and architectural acoustics.
2025
Proceedings of the 33rd European Signal Processing Conference (EUSIPCO)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1297638
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