dEchorate: a Calibrated Room Impulse Response Dataset for Echo-aware Signal Processing

Diego Di Carlo (1) , Pinchas Tandeitnik (2) , Cédric Foy (3) , Nancy Bertin (1) , Antoine Deleforge (4) , Sharon Gannot (2)

1 Inria Rennes – Bretagne Atlantique
2 Bar-Ilan University [Israël]
3 UMRAE - Unité Mixte de Recherche en Acoustique Environnementale
4 Inria Nancy - Grand Est

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 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.

Mots clés: Echo-aware signal processing; Acoustic echoes; Room impulse response; Audio database; Acoustic Echo Retrieval; Spatial Filtering; Room Geometry Estimation; Microphone arrays

Domaines: Applications [stat.AP]; Acoustique [physics.class-ph]; Traitement du signal et de l'image [eess.SP]

Diego Di Carlo, Pinchas Tandeitnik, Cédric Foy, Nancy Bertin, Antoine Deleforge, et al.. dEchorate: a Calibrated Room Impulse Response Dataset for Echo-aware Signal Processing. 2021. ⟨hal-03207860v2⟩