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} }

搜集汇总

背景与挑战

背景概述

dEchorate是一个多声道房间脉冲响应（RIR）测量数据集，包含早期回波时间、麦克风、真实源和镜像源的3D位置注释，旨在为回波感知信号处理（如语音增强、房间几何估计等）提供基准测试工具，并附带软件工具和基线方法。