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Audio Signal Dataset for Danger Detection of Women and Children

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Mendeley Data2024-03-27 更新2024-06-26 收录
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This publicly available audio signal dataset is built to detect danger for women and children. It contains three classes: children in danger, women in danger, and normal situations. The dataset partition is 70% training set and 30% testing set. The audio files are distributed in two main folders, namely train and test. Each folder is divided into three subfolders, one for each class. The names of those folders are Child (which contains audio files for Children in danger class), Women (which contains audio files for Women in danger class), and Normal (which contains audio files for normal situations). This dataset has 19375 audio files in total, and each file is chopped into 1s. The Children in Danger class has 6488 audio files; among those, 4542 are in the Child subfolder under the Train folder, and 1946 are in the Child subfolder under the Test folder. On the other hand, the Women in Danger class has 6427 audio files; among those, 4498 files are in the Women subfolder under the train folder, and 1929 files are in the Women subfolder under the test folder. Finally, the Normal Situation class has 6460 audio files, among which 4522 are in the Women subfolder under the train folder and 1938 are in the Women subfolder under the test folder.

本公开可用音频信号数据集专为妇女与儿童的危险场景检测而构建。该数据集涵盖三个类别:遇险儿童、遇险妇女及正常场景。数据集划分比例为70%训练集与30%测试集。音频文件分布于两个主文件夹,即train(训练)与test(测试)文件夹;每个主文件夹下均分为三个子文件夹,分别对应一个类别。各子文件夹分别命名为Child(存储遇险儿童类别的音频文件)、Women(存储遇险妇女类别的音频文件)与Normal(存储正常场景类别的音频文件)。本数据集总计包含19375个音频文件,每个文件均被切分为1秒时长的片段。其中遇险儿童类别共有6488个音频文件,4542个存储于train文件夹下的Child子文件夹中,剩余1946个存储于test文件夹下的Child子文件夹中。遇险妇女类别总计包含6427个音频文件,其中4498个存储于train文件夹下的Women子文件夹中,1929个存储于test文件夹下的Women子文件夹中。正常场景类别共有6460个音频文件,其中4522个存储于train文件夹下的Normal子文件夹中,1938个存储于test文件夹下的Normal子文件夹中。

创建时间:
2024-01-23
搜集汇总
数据集介绍
Audio Signal Dataset for Danger Detection of Women and Children 数据集图片
背景与挑战
背景概述
该数据集是一个公开的音频信号数据集,专门用于检测女性和儿童的危险情况,包含儿童危险、女性危险和正常情况三个类别,共19375个1秒音频文件,按70%训练和30%测试划分。数据集旨在支持音频信号处理研究,适用于机器学习模型训练和危险检测应用。
以上内容由遇见数据集搜集并总结生成
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