Glass breaking
Last updated
Last updated
Task: Audio Classification
License: BSD 3-Clause Clear
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.
Feature extraction: Audio (MFE), Spectrogram, Raw Data
Learning block: Classification
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Total Data Items: 500
Total Data Length: 0h 21m 15s
Axis Summary: audio
Labeling Method: single label
Train/Test Split: 80.00% / 20.00%
Training Set
Testing Set
Total Data Items
400
100
Labels
glass_breaking, noise
glass_breaking, noise
Total Data Length
0h 17m 37s
0h 3m 37s
Clone the public project
To clone and use this project, visit the Edge Impulse Studio link, click on the Clone button on the top-right corner and follow the cloning instructions.
Download
HuggingFace - Soon
Kaggle - Soon
Import this dataset to your Edge Impulse project
This project uses the Edge Impulse Exporter Format (info.labels). See this documentation page for more info.
Edge Impulse also supports different data sample formats and dataset annotation formats that you can import into your project to build your edge AI models:
If you use this dataset in your research paper, please cite it using the following BibTeX:
