The dEchorate dataset

 Please make sure you are checking the

- last updated version of the HDF5 dataset

- last update version of the SOFA dataset

This work presents a new dataset of measured multichannel Room Impulse Responses (RIRs) named dEchorate.
See the `README.md` file on the code repository on visit the dEchorate website for more information:

Paper | ArXiv |  Website | Code | Data HDF5 and Python | Data SOFA

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 speech enhancement, room geometry estimation, RIR estimation, acoustic echo retrieval, microphone calibration, echo labeling and reflectors position estimation.

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)

@article{dicarlo2021dechorate,
  title={dEchorate: a calibrated room impulse response dataset for echo-aware signal processing},
  author={{Di Carlo}, Diego and Tandeitnik, Pinchas and Foy, Cedri{\'c} and Bertin, Nancy and Deleforge, Antoine and Gannot, Sharon},
  journal={EURASIP Journal on Audio, Speech, and Music Processing},
  volume={2021},
  number={1},
  pages={1--15},
  year={2021},
  publisher={Springer}
}