3rd Clarity Enhancement Challenge (CEC3) dataset for hearing aid speech enhancement: Task 3 (Real dynamic acoustic backgrounds)
Contributors
Data curators:
- 1. University of Nottingham
-
2.
University of Salford
Description
This dataset was created for the third Clarity Enhancement Challenge (CEC3), which asked participants to improve the intelligibility of speech-in-noise for hearing-impaired listeners.
CEC3 consisted of three tasks, each extending the simulated data used in the second Clarity Enhancement Challenge (CEC2) in a different way:
- Task 1: Simulation using real ambisonic impulse respond recordings.
- Task 2: Recording made over real hearing aid devices worn by a listener and with real head motion
- Task 3: Simulation with target speech mixed complex dynamic scenes recorded with an ambisonic microphone.
This dataset contains the material for Task 3.
The data for Task 2 is provided in three parts:
-
clarity_CEC3_data.task3.metadata_only.v1_0.tar.gz — training and development metadata, including a checksum manifest (cryptographic hash values) for all training signals, to verify data integrity and ensure reproducibility.
-
clarity_CEC3_data.task3.v1_0.tar.gz — training and development signals (due to file size, this archive is hosted separately at myairbridge link, 111 GB).
-
clarity_CEC3_data_eval.task3.v1_0.tar.gz — evaluation signals and metadata.
Further details about the challenge—including background, task definitions, and baseline systems—are available in the CEC3 documentation.
Files
Files
(4.5 GB)
| Name | Size | Download all |
|---|---|---|
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md5:26a7334694c8089e2b53889f5ac2b934
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4.5 GB | Download |
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md5:bd2bdeaac852a95da3913f365589051d
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4.2 MB | Download |
Additional details
Funding
Software
- Repository URL
- https://github.com/claritychallenge/clarity
- Programming language
- Python
- Development Status
- Active