Coswara呼吸与咳嗽音频数据集
Coswara数据集包含呼吸、咳嗽及语音音频信号，用于COVID-19筛查与呼吸系统疾病检测研究，是语音与医疗信号处理领域的重要公开数据资源。
基本信息
资源简介
Coswara呼吸与咳嗽音频数据集
【数据集背景】
本数据集源站标题为《iiscleap/Coswara-Data》。源站首次发布：2020-04-14。
【数据内容】
源站原始描述：Data repository of Project Coswara # Coswara-Data This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License . UPDATE: The current full version of Coswara data is now published with open access in Nature Scientific Data , 2023. read Project Coswara by Indian Institute of Science (IISc) Bangalore is an attempt to build a diagnostic tool for COVID-19 detection using the audio recordings such as breathing, cough and speech sounds of an individual. Currently, th…
【主题与分类】
主题标签：coronavirus、cough、covid-19、machine-learning。
【适用方向】
音频数据可用于声学信号分析建模，如语音与呼吸音相关研究。
【获取与许可】
源站页面：https://github.com/iiscleap/Coswara-Data
使用许可：NOASSERTION。
【使用注意】
· 源站最后修改于 2023-06-23，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/iiscleap/Coswara-Data.git
curl -L -o repo.zip https://github.com/iiscleap/Coswara-Data/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录（使用方式）
Coswara-Data
<strong>UPDATE:</strong> The current full version of Coswara data is now published with open access in <strong>Nature Scientific Data</strong>, 2023. read
Project Coswara by Indian Institute of Science (IISc) Bangalore is an attempt to build a diagnostic tool for COVID-19 detection using the audio recordings such as breathing, cough and speech sounds of an individual. Currently, the project is in the data collection stage through crowdsourcing. To contribute your audio samples, please go to Project Coswara(https://coswara.iisc.ac.in/). The exercise takes 5-7 minutes.
<strong>What am I looking at?</strong>
This github repository contains the raw audio data collected through https://coswara.iisc.ac.in/ . Every participant contributes nine sound samples. You can read the paper: Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis to know more about the dataset. Note that the dataset size has increased since this paper came out. We also maintain a (less frequently updated) blog here.
<strong>What is the structure of the repository?</strong>
Each folder contains metadata and audio recordings corresponding to contributors. The folder is compressed. To download and extract the data, you can run the script extract_data.py
<strong>What are the different sound samples?</strong>
Sound samples collected include breathing sounds (fast and slow), cough sounds (deep and shallow), phonation of sustained vowels (/a/ as in made, /i/,/o/), and counting numbers at slow and fast pace. Metadata information collected includes the participant’'s age, gender, location (country, state/ province), current health status (healthy/ exposed/ positive/recovered) and the presence of comorbidities (pre-existing medical conditions).
<strong>Can I see the metadata before downloading whole repository?</strong>
Yes. The file combined_data.csv contains a summary of metadata. The file csv_labels_legend.json contains information about the columns present in combined_data.csv.
<strong>Is there any audio quality check?</strong>
Yes. The audio files are manually listened and labeled as one of the three categories: 2(excellent), 1(good), 0(bad). The labels are presen
数据缺失？
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