Dataset Card for "CryCeleb2023"
Dataset Summary
The CryCeleb2023 dataset is a compilation of cries gathered from 786 infants from various hospitals.
The 26k audio files make up 6.5 hours of pure expiration sounds.
The dataset also contains information on the time of recording, which is either within the first hour(s) of life or
upon hospital discharge, typically within 24 hours of birth.
Supported Tasks and Leaderboards
Dataset Structure
Audio folder contains short wav files (16 kHz wav PCM).
audio - folder with audio files structured by infant ID
audio/
train/
spk1/
B/
spk1_B_001.wav
...
spk6_B_001.wav
...
D/
spk1_D_001.wav
...
...
spk586
...
dev/
...(similar to train)...
test/
anonymous1/
B/
...
In this folder structure:
- spkN: folder with recordings corresponding to baby N
- B/D: time of recording (birth or discharge)
- 001, 002,, etc - chronological index of cry sound (expiration)
metadata.csv - metadata associated with each audio file
dev_pairs.csv - pairs of birth/discharge recordings used for evaluating development set (available to challenge participants)
test_pairs.csv - pairs of birth/discharge recordings used in CryCeleb2023 evaluation (public and private scores)
Data Instances
Audio files 16 kHz wav PCM - manually segmented cry sounds (expirations)
Data Splits
Number of Infants by Split and Time(s) of Recording(s)
Time(s) of Recording | train | dev | test |
---|---|---|---|
Both birth and discharge | 348 | 40 | 160 |
Only birth | 183 | 0 | 0 |
Only discharge | 55 | 0 | 0 |
586 | 40 | 160 |
Source Data
Audio recordings of infant cries made by android application
Annotations
Annotation process
- Manual segmentation of cry into three categories: expiration, inspiration, no cry
- Only expirations kept in this corpus
- Manual review to remove any PIIs
Personal and Sensitive Information
PII such as intelligible background speech, etc, were removed from the data.
All identities are also anonymized.
Considerations for Using the Data
Discussion of Biases
The dataset only covers infants born in one country
Other Known Limitations
Dataset only includes expirations.
Recording quality varies
Additional Information
Dataset Curators
Ubenwa.ai (contact: [email protected])
Licensing Information
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Citation Information
Please cite the following paper if you use this dataset
@article{ubenwa2023cryceleb,
title={CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds},
author={David Budaghyan and Charles C. Onu and Arsenii Gorin and Cem Subakan and Doina Precup},
year={2023},
journal={preprint arXiv:2305.00969},
}
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