Datasets:
license: cc-by-nc-sa-4.0
task_categories:
- automatic-speech-recognition
language:
- zh
pretty_name: ChildMandarin
size_categories:
- 10K<n<100K
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: speaker
dtype: string
- name: gender
dtype: string
- name: age
dtype: string
- name: location
dtype: string
- name: device
dtype: string
extra_gated_prompt: >-
This dataset is made available for academic and non-commercial research
purposes only. By accessing or using the dataset, you agree to comply with the
following terms and conditions:
1. The dataset may only be used for academic research and educational
purposes. Any commercial use, including but not limited to commercial product
development, commercial speech recognition services, or monetization of the
dataset in any form, is strictly prohibited.
2. The dataset must not be used for any research or applications that may
infringe upon the privacy rights of the recorded participants. Any attempt to
re-identify participants or extract personally identifiable information from
the dataset is strictly prohibited. Researchers must ensure that their use of
the dataset aligns with ethical research practices and institutional review
board (IRB) guidelines where applicable.
3. If a participant (or their legal guardian) requests the removal of their
data from the dataset, all recipients of the dataset must comply by deleting
the affected data from their records. Researchers must acknowledge that such
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compliance.
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shared with any third party. Each researcher or institution must independently
request access to the dataset and agree to these terms.
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dataset must properly cite the dataset as specified in the accompanying
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The dataset maintainers are not responsible for any direct or indirect
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researcher's employer shall also be bound by these terms and conditions, and
the researcher hereby represents that they are fully authorized to enter into
this agreement on behalf of such employer.
By requesting access to the dataset, you acknowledge that you have read,
understood, and agreed to these terms.
extra_gated_fields:
Name: text
Email: text
Affiliation: text
Position: text
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I agree to the Terms of Access: checkbox
I agree to use this dataset for non-commercial use ONLY: checkbox
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5
Introduction
ChildMandarin is a comprehensive, open-source Mandarin Chinese speech dataset specifically designed for research on young children aged 3 to 5. This dataset addresses the critical lack of publicly available resources for this age group, enabling advancements in automatic speech recognition (ASR), speaker verification (SV), and other related fields. The dataset is released under a CC BY-NC-SA 4.0 license, meaning it is available for non-commercial use.
Dataset Details
This dataset contains 41.25 hours of high-quality speech data collected from 397 children across 22 provinces in China. Key features of the dataset include:
- Age Range: 3-5 years old (inclusive). This is a crucial age range often overlooked in speech datasets.
- Speakers: 397 unique child speakers.
- Geographic Diversity: Speakers from 22 of China's 34 provincial-level administrative divisions, capturing a range of regional accents.
- Gender Balance: Approximately equal representation of male and female speakers across all age groups.
- Recording Conditions: Recordings were made in quiet environments using a variety of smartphones (both Android and iPhone devices) to ensure real-world applicability.
- Content: Natural, conversational speech during age-appropriate activities. The content is unrestricted, promoting spontaneous and natural interactions.
- Audio Format: WAV files with a 16kHz sampling rate.
- Transcriptions: Carefully crafted, character-level manual transcriptions.
- Annotations: The dataset includes annotations for each utterance, and for the speakers level.
- Utterance-level:
id
,audio
(file path),text
(transcription). - Speaker-level:
speaker_id
,age
,gender
,accent
,location
(province),device
.
- Utterance-level:
Dataset Structure
The dataset is split into three subsets:
Split | # Speakers | # Utterances | Duration (hrs) | Avg. Utterance Length (s) |
---|---|---|---|---|
train |
317 | 32,658 | 33.35 | 3.68 |
validation |
39 | 4,057 | 3.78 | 3.35 |
test |
41 | 4,198 | 4.12 | 3.53 |
Total | 397 | 40,913 | 41.25 | 3.52 |
The dataset file structure is as follows.
data/
βββ train/*.tar
βββ dev/*.tar
βββ test/*.tar
speaker_info.xlsx # summary of speaker information
Each WAV file has a corresponding JSON file with the same name, containing its annotations.
For more details, please refer to our paper ChildMandarin.
π Cite me
@article{zhou2024childmandarin,
title={ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5},
author={Zhou, Jiaming and Wang, Shiyao and Zhao, Shiwan and He, Jiabei and Sun, Haoqin and Wang, Hui and Liu, Cheng and Kong, Aobo and Guo, Yujie and Qin, Yong},
journal={arXiv preprint arXiv:2409.18584},
year={2024}
}