metadata

viewer: false
dataset_info:
  features:
    - name: baby_id
      dtype: string
    - name: period
      dtype: string
    - name: duration
      dtype: float64
    - name: split
      dtype: string
    - name: chronological_index
      dtype: string
    - name: file_name
      dtype: string
    - name: file_id
      dtype: string
  splits:
    - name: train
      num_bytes: 522198700
      num_examples: 18190
      num_babies: 586
      total_length (minutes): 268
    - name: dev
      num_bytes: 45498424
      num_examples: 1614
      num_babies: 40
      total_length (minutes): 23
    - name: test
      num_bytes: 192743500
      num_examples: 6289
      num_babies: 160
      total_length (minutes): 99
  dataset_size: 760444720
  num_examples: 26093
  num_babies: 786
  total_length (minutes): 391
license: cc-by-nc-nd-4.0
task_categories:
  - audio-classification
size_categories:
  - 10K<n<100K
extra_gated_fields:
  Affilation (company or university): text
  Country: text
  I agree to use this data for non-commercial use ONLY (under Creative Commons Attribution-NonCommercial-NoDerivatives 4 International license): checkbox

Dataset Card for "CryCeleb2023"

Dataset Card for "CryCeleb2023"

Dataset Description

Homepage: https://huggingface.co/datasets/Ubenwa/CryCeleb2023
Repository: https://huggingface.co/datasets/Ubenwa/CryCeleb2023
Paper: https://arxiv.org/abs/2305.00969
Leaderboard: https://huggingface.co/spaces/competitions/CryCeleb2023
Point of Contact: [email protected]

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

CryCeleb2023 competition

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},
}

Datasets:

Ubenwa
/

CryCeleb2023