dEchorate: Calibrated Multichannel Room Impulse Responses

dEchorate is a dataset of measured multichannel Room Impulse Responses (RIRs) created by researchers including Diego Di Carlo from the Centre National de la Recherche Scientifique. It includes annotations for early echo timings and 3D positions of microphones, real sources, and image sources under different wall configurations in a cuboid room. The dataset is published with software utilities for data access and baseline methods for echo-related tasks.

Use Cases

• Benchmarking speech enhancement algorithms based on annotated early echo timings.
• Estimating room geometry based on 3D positions of microphones and image sources.
• Developing acoustic echo retrieval methods based on calibrated multichannel RIRs.
• Calibrating microphone arrays based on the provided 3D position annotations.
• Estimating reflector positions based on the annotated image source data.

Strengths

• Includes annotations for early echo timings, which are explicitly mentioned in the description.
• Provides 3D positions for microphones, real sources, and image sources under different wall configurations.
• Is accompanied by software utilities for data access, manipulation, and visualization.
• Includes baseline methods for echo-related tasks, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Centre National de la Recherche Scientifique

Collection Method

Measured multichannel Room Impulse Responses (RIRs) collected in a cuboid room.