Six degrees-of-freedom room impulse response dataset measured over a dense loudspeaker grid (6DRIR-DL)

Choi JW, Zotter F. Six degrees-of-freedom room impulse response dataset measured over a dense loudspeaker grid (6DRIR-DL). In: AES Conference: AES 2023 International Conference on Spatial and Immersive Audio. Audio Engineering Society; 2023. Paper 34. Available from: https://aes.org/publications/elibrary-page/?id=22184

@inproceedings{Choi2023_22184,
  author = {Choi, Jung-Woo and Zotter, Franz},
  title = {{Six degrees-of-freedom room impulse response dataset measured over a dense loudspeaker grid (6DRIR-DL)}},
  booktitle = {AES Conference: AES 2023 International Conference on Spatial and Immersive Audio},
  note = {Paper 34},
  year = {2023},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22184}
}

TY  - CPAPER
TI  - Six degrees-of-freedom room impulse response dataset measured over a dense loudspeaker grid (6DRIR-DL)
AU  - Choi, Jung-Woo
AU  - Zotter, Franz
T2  - AES Conference: AES 2023 International Conference on Spatial and Immersive Audio
M1  - Paper 34
PY  - 2023
DA  - 2023/08/06
UR  - https://aes.org/publications/elibrary-page/?id=22184
PB  - Audio Engineering Society
LA  - en
AB  - The need for extensive room impulse response data has become increasingly important to optimize algorithms decomposing or interpolating the audio scene via multiple spherical microphone arrays (SMAs) for virtual acoustic applications. This paper describes two datasets with a total of 134k room impulse responses (RIRs), convertible to third-order Ambisonic signals. The RIRs were measured by nine SMAs surrounding a rectangular loudspeaker grid of 392 loudspeaker positions. Both sets were measured in the same semi-cuboid room but prepared for two different reverberation times. Loudspeaker positions cover a dense grid to promote realistic benchmarking of high-resolution multi-source localization techniques using multi-perspective SMA recordings, or sound field interpolation predicting the audio scene at a variable location. Datasets are SOFA files, and source code is provided for conversion into higher-order Ambisonics (HOA) as well as source localization by MEB-ESPRIT.
ER  -