Sparsity-based analysis of sound field diffuseness in rooms

Genc EB, Coteli M, Hacihabiboglu H. Sparsity-based analysis of sound field diffuseness in rooms. In: Express Paper. Audio Engineering Society; 2025. Paper 329. Available from: https://aes.org/publications/elibrary-page/?id=22880

@inproceedings{Genc2025_22880,
  author = {Genc, Ece Beren and Coteli, Mert and Hacihabiboglu, Huseyin},
  title = {{Sparsity-based analysis of sound field diffuseness in rooms}},
  note = {Paper 329},
  year = {2025},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22880}
}

TY  - CPAPER
TI  - Sparsity-based analysis of sound field diffuseness in rooms
AU  - Genc, Ece Beren
AU  - Coteli, Mert
AU  - Hacihabiboglu, Huseyin
M1  - Paper 329
PY  - 2025
DA  - 2025/05/12
UR  - https://aes.org/publications/elibrary-page/?id=22880
PB  - Audio Engineering Society
LA  - en
AB  - A spatio-spectro-temporal (SST) sound field analysis approach based on a sparse plane-wave decomposition of sound fields captured using a higher-order Ambisonics microphone is proposed. This approach analyzes the progression of sound field diffuseness in both temporal and spatial dimensions. Derivative measures assess temporal, spectro-temporal, and spatio-temporal characteristics of the diffuse field, including sparsity, diversity, and isotropy. We define the room sparsity profile (RSP), room sparsity relief (RSR), and room sparsity profile diversity (RSPD) as temporal, spectro-temporal, and spatio-temporal measures of diffuse fields, respectively. The relationship of this approach to existing diffuseness measures is discussed and supported by experimental comparisons using fourth-order acoustic impulse responses (AIRs), demonstrating the utility of the new derivative measures on measurement position.
ER  -