dEchorate: a calibrated room impulse response dataset for echo-aware signal processing

Diego Di Carlo, Pinchas Tandeitnik, Cedrić Foy, Nancy Bertin, Antoine Deleforge, Sharon Gannot

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Article number39
JournalEurasip Journal on Audio, Speech, and Music Processing
Volume2021
Issue number1
DOIs
StatePublished - Dec 2021

Bibliographical note

Funding Information:
Luca Remaggi, Marco Crocco, Alessio Del Bue, and Robin Scheibler are thanked for their help during experimental design.

Publisher Copyright:
© 2021, The Author(s).

Keywords

  • Acoustic echo retrieval
  • Acoustic echoes
  • Audio database
  • Echo-aware signal processing
  • Microphone arrays
  • Room geometry estimation
  • Room impulse response
  • Spatial filtering

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