Smartphone High-explosive Audio Recordings Dataset (SHAReD)
收藏DataCite Commons2024-10-28 更新2025-04-15 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ROWODP
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资源简介：
Collection of signals from of high explosives recorded on a smartphone sensor network available as a pandas DataFrame. The dataset is accompanied by two machine learning models (LFM and D-YAMNet) that were trained for explosion detection using SHAReD and the ESC-50 Dataset.
There are 326 sets of signals from 70 high-explosive events.
The sensors included are the following:
Microphone
Accelerometer
Barometer
Global Navigation Satellite Systems
*The extended dataset only includes microphone data and information about the explosion.
*D-YAMNet takes 0.96 seconds of audio at 16 kHz sample rate with input shape of (15360,)
*LFM takes 0.96 seconds of audio at 800 Hz sample rate with input shape of (1, 768)
提供机构：
Harvard Dataverse
创建时间：
2024-05-01
