Abstract

Room acoustics, and the perception thereof, are important considerations in research, engineering, architecture, creative expression, and many other areas of human activity, particularly indoors. Typical room datasets contain either disparate measurements of diverse spaces, e.g., the OpenAir dataset (Murphy and Shelley, 2010), or rich sets of measurements within a few rooms, e.g., CD4M (Stewart and Sandler, 2010).

The development of techniques, such as the RSAO, with 6 degrees of freedom movement in media applications, requires testing distance-related effects. Hence, there is a need for consistency across room measurements in terms of source-room-receiver configuration, such as in (Lokki et al., 2011) but particularly for typical rooms. Those available, containing ARIRs, BRIRs, and with a consistent measurement procedure, tend to be limited in the range of rooms measured (Bacila and Lee, 2019).

We designed an RIR dataset including seven rooms with typical reverberation times from 0.24 s to 1.00 s and volumes from 50 m3 to 1600 m3. 1O-ARIRs and BRIRs were captured with a regular measurement procedure at distances from 1 m to 3 m at 0.5 m intervals. LiDAR scans and 3D pictures were also captured, providing precise geometries and visual references.

Analysis based on metrics defined in ISO 3382-1:2009 is presented to describe each of the rooms in the dataset.

Poster

Please see the convention poster below for a brief overview, or download the paper for detailed procedure, measurement position diagrams and analysis.


License

The dataset, or any component within, is free for non-commercial use only and published under a CC BY-NC 4.0 license. Permission is hereby granted to use the SurrRoom 1.0 dataset provided that it is referenced in publications related to its use as follows:

C. Cieciura, M. Volino and P. J. B. Jackson, "SurrRoom 1.0 Dataset: Spatial Room Capture with Controlled Acoustic and Optical Measurements," 154th Audio Engineering Society Convention, AES, 2023, doi: 10:15126=surreydata:900689.

@inproceedings{cieciuraSurrRoomDatasetSpatial2023,
	author = {Cieciura, Craig and Volino, Marco and Jackson, Philip J. B.},
	booktitle = {154th {{Audio Engineering Society Convention}}},
	doi = {10:15126=surreydata:900689},
	langid = {english},
	month = may,
	publisher = {{Audio Engineering Society}},
	shorttitle = {{{SurrRoom}} 1.0 {{Dataset}}},
	title = {{{SurrRoom}} 1.0 {{Dataset}}: {{Spatial Room Capture}} with 
	{{Controlled Acoustic}} and {{Optical Measurements}}},
	urldate = {2023-05-12},
	year = {2023},
	bdsk-url-1 = {https://doi.org/10:15126=surreydata:900689}}
	

	    

Access

Data can be downloaded by clicking on the blue links below. By downloading any part of the SurrRoom 1.0 dataset you agree to abide by the license conditions stated above.

Automatic access to the LiDAR scans, 3D pictures and SOFA format impulse responses is still under construction. In the intervening time, to request access or for other queries, please contact: c.cieciura@surrey.ac.uk.



Acknowledgments

This research was supported by UKRI EPSRC and BBC Prosperity Partnership AI4ME: Future Personalised Object-Based Media Experiences Delivered at Scale Anywhere EP/V038087 and UKRI Innovate UK Polymersive PR: 105168. Thanks also to Andrés Estrella Terneux for his assistance with the impulse response measurements.