婴儿哭声与打鼾检测数据集
该数据集是一个包含9000条音频样本的医学音频数据集，专门用于婴儿哭声和打鼾检测的研究，通过真实强标签、弱标签和合成强标签三种子集提供多模态音频数据，主要应用于婴儿健康监测和睡眠障碍诊断领域，旨在为家庭护理和医疗诊断提供数据支持。
基本信息
资源简介
婴儿哭声与打鼾检测数据集
【数据集背景】
本数据集源站标题为《QingyuLiu0521/ICSD》。源站首次发布：2024-07-20。
【数据内容】
源站原始描述：ICSD Dataset ## ICSD: An Open-source Dataset for Infant Cry and Snoring Detection This is the official repository for the **ICSD** dataset. **Please note that our paper is currently under review. After the paper is accepted, you can download the audio files and metadata from our provided source URL list on Huggingface** ## About ⭐️ 🎤 **ICSD** is a comprehensive audio event dataset for infant cry and snoring detection with the following features: - containing over *3.3* hours of strongly labeled…
【获取与许可】
源站页面：https://github.com/QingyuLiu0521/ICSD
【使用注意】
· 源站最后修改于 2025-06-11，引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
git clone https://github.com/QingyuLiu0521/ICSD.git
curl -L -o repo.zip https://github.com/QingyuLiu0521/ICSD/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Requirements 📝
The script conda_create_environment.sh is available to create an environment which runs the baseline system.
Data Download ⬇️
You can download the ICSD dataset using the script: download_ICSD.py
Usage:
- Visit our Hugging Face repository to request access permissions. After the review process, you will receive authorization to download the ICSD dataset.
- After obtaining permission, Navigate to your Hugging Face settings to generate your personal token. Under ‘‘Repositories permissions’’, enter
datasets/QingyuLiu1/ICSD. For detailed information about tokens, please refer to the official documentation.
<div align=center>
<img src=“RepositoriesPermissions.png” alt=“RepositoriesPermissions” style=“width: 95%”>
</div>
-
Run the command
python download_ICSD.py token=your_token. Here,your_tokenis the one you’'ve generated from your Hugging Face settings. Following this, the ICSD dataset will be downloaded into thedatafolder and automatically unzipped.If the script
download_ICSD.pycannot run due to network issues, you can manually download the Dataset.zip from Hugging Face and unzip it into thedatafolder. -
In addition to the well-organized dataset, we also provide source materials for generating synthetic strongly labeled data. You can download these by running the command
python download_ICSD.py token=your_token file_name=Materials.zip local_dir=your_folder.
Training 👨💻
Three baselines are provided:
- baseline with only synthetic data
- baseline with real data and synthetic data
- baseline using pre-trained embedding
1. Baseline with only synthetic data
The baseline using the synthetic strongly labeled data can be run from scratch using the following command:
python train_sed.py
We provide a pretrained checkpoint. The baseline can be tested on the test set of the dataset using the following command:
python train_sed.py test_from_checkpoint /path/to/synth_only.ckpt
2. Baseline with real data and synthetic data
The baseline using the real strongly labeled data and syn
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务？立即联系我们获取专业方案。
