Motus: A dataset of higher-order Ambisonic room impulse responses and 3D models measured in a room with varying furniture

The Motus dataset is a dataset of higher-order Ambisonic room impulse responses. The measurements took place in a single room while varying the amount and placement of furniture. 830 different room configurations were measured with four source-to-receiver configurations, resulting in 3320 room impulse responses in total. The dataset features various furniture object placements, including non-uniform distributions of absorptive material and cases with occluded direct paths between source and receiver. All acoustic measurements are accompanied by matching 3D models and 360°-photographs of the room. The dataset can be used to investigate room acoustic topics such as the acoustic effects of absorber placements or the decay behavior of rooms. 

A paper about the dataset has been published at the International Conference on Immersive and 3D Audio (I3DA, https://www.i3da.eu), 8-10 September 2021. In the paper, we describe the dataset and demonstrate its usage with a reverberation time analysis. The analysis reveals that most of our measurements follow the expected relationship between absorption area and reverberation time. Some exceptional cases feature particular room acoustic phenomena, such as non-uniform absorption area distributions or multi-slope decays. Additionally, we show with a large number of measurements that furniture placement can significantly affect the reverberation time of a room.

The best_of.zip contains a smaller portion of the dataset for trying out some analyses before downloading the entire dataset.