dEchorate: a calibrated room impulse response dataset for echo-aware signal processing
Diego Di Carlo, Pinchas Tandeitnik, Cédric Foy, Nancy Bertin, Antoine Deleforge, Sharon Gannot
Abstract
Abstract This paper presents a new dataset of measured multichannel room impulse responses (RIRs) named dEchorate. 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 benchmarking recent methods in echo-aware speech enhancement, room geometry estimation, RIR estimation, acoustic echo retrieval, microphone calibration, echo labeling, and reflector 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.