|
|
--- |
|
|
viewer: false |
|
|
dataset_info: |
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|
features: |
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|
- 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: |
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|
- name: train |
|
|
num_bytes: 522198700 |
|
|
num_examples: 18190 |
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|
num_babies: 586 |
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|
total_length (minutes): 268 |
|
|
- name: dev |
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|
num_bytes: 45498424 |
|
|
num_examples: 1614 |
|
|
num_babies: 40 |
|
|
total_length (minutes): 23 |
|
|
- name: test |
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|
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 |
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|
license: cc-by-nc-nd-4.0 |
|
|
task_categories: |
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|
- audio-classification |
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|
size_categories: |
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|
- 10K<n<100K |
|
|
|
|
|
extra_gated_fields: |
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|
Affilation (company or university): text |
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|
Country: text |
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|
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" |
|
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|
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## Table of Contents |
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|
- [Dataset Card for "CryCeleb2023"](#dataset-card-for-cryceleb2023) |
|
|
- [Table of Contents](#table-of-contents) |
|
|
- [Dataset Description](#dataset-description) |
|
|
- [Dataset Summary](#dataset-summary) |
|
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
|
- [Dataset Structure](#dataset-structure) |
|
|
- [Data Instances](#data-instances) |
|
|
- [Data Splits](#data-splits) |
|
|
- [Source Data](#source-data) |
|
|
- [Annotations](#annotations) |
|
|
- [Annotation process](#annotation-process) |
|
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
|
- [Discussion of Biases](#discussion-of-biases) |
|
|
- [Other Known Limitations](#other-known-limitations) |
|
|
- [Additional Information](#additional-information) |
|
|
- [Dataset Curators](#dataset-curators) |
|
|
- [Licensing Information](#licensing-information) |
|
|
- [Citation Information](#citation-information) |
|
|
|
|
|
## 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](https://huggingface.co/spaces/competitions/CryCeleb2023) |
|
|
|
|
|
## 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 |
|
|
[](https://creativecommons.org/licenses/cc-nc-nd/4.0/) |
|
|
|
|
|
|
|
|
### 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}, |
|
|
} |
|
|
``` |
|
|
|