The dEchorate dataset

⚠️ <strong>THIS WORK IS CURRENTLY UNDER REVIEW</strong> ⚠️ This work presents a new dataset of measured multichannel Room Impulse Responses (RIRs) named <em><strong>dEchorate</strong></em>.<br> See the `README.md` file on the code repository on visit the dEchorate website for more information: Paper | Website | Code It includes annotations of early echo timings and 3D positions of microphones, real sources and image sources under different wall configurations in a cuboid room. These data provide a tool for bench-marking recent methods in echo-aware signal processing, such as <em>speech enhancement</em>, <em>room geometry estimation</em>, <em>RIR estimation</em>, <em>acoustic echo retrieval</em>, <em>microphone calibration,</em> <em>echo labeling</em> and <em>reflectors position estimation</em>. The dataset is provided with software utilities to easily access, manipulate and visualize the data as well as baseline methods for echo-related tasks. If you use the data in your research, please reference the paper (not just the Zenodo record) <pre><code>@article{di2021dechorate, title={dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal Processing}, author={Di Carlo, Diego and Tandeitnik, Pinchas and Foy, C{\'e}dric and Deleforge, Antoine and Bertin, Nancy and Gannot, Sharon}, journal={arXiv preprint arXiv:2104.13168}, year={2021} } </code></pre>