A Sparsity Measure for Echo Density Growth in General Environments

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A4 Artikkeli konferenssijulkaisussa
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Date

2019-05-01

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Department of Signal Processing and Acoustics

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en

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5

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44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings, pp. 226-230, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

Abstract

We study the detailed temporal evolution of echo density in impulse responses for applications in acoustic analysis and rendering on general environments. For this purpose, we propose a smooth sorted density measure that yields an intuitive trend of echo density growth with time. This is fitted with a general power-law model motivated from theoretical considerations. We validate the framework against theory on simple room geometries and present experiments on measured and numerically simulated impulse responses in complex scenes. Our results show that the growth power of echo density is a promising statistical parameter that shows noticeable, consistent differences between indoor and outdoor responses, meriting further study.

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Keywords

Density measurement, Acoustic measurements, Microsoft Windows, Reverberation, Market research, Geometry, impulse response, echo density, mixing time, outdoor acoustics, parametric models, statistical signal processing

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DOI

10.1109/ICASSP.2019.8682878

Citation

Tukuljac, H P, Pulkki, V, Gamper, H, Godin, K, Tashev, I J & Raghuvanshi, N 2019, A Sparsity Measure for Echo Density Growth in General Environments. in 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings., 8682878, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 226-230, IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, United Kingdom, 12/05/2019. https://doi.org/10.1109/ICASSP.2019.8682878

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https://urn.fi/URN:NBN:fi:aalto-201906033381

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[article-cris] Sähkötekniikan korkeakoulu / ELEC