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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
EEP564 Project-Audio Classification - Home Security
About this project
This dataset has been generated by Edge Impulse teams to recognize the sound of glass breaking.
The synthetic data has been generated using the Edge Impulse's ElevenLabs.io integration.
You can also have a look at the blog post That Sounds Great: Create Ultra-Realistic Audio Datasets with ElevenLabs.io.
Compatible Blocks
- Feature extraction: Audio (MFE), Spectrogram, Raw Data
- Learning block: Classification
Not sure what to choose? Try out this dataset with the EON Tuner.
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Dataset summary
Data collected
1h 11m 1sSensor
audio @ 44.1KHzLabels
anomaly, normalProject info
| Project ID | 699161 |
| License | 3-Clause BSD |
| No. of views | 74 |
| No. of clones | 3 |
