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  1. Audio
  2. Audio Classification

Glass breaking

PreviousFaucet vs noiseNextKeyword Spotting

Last updated 1 month ago

Task: Audio Classification

License:

Description

This dataset has been generated by Edge Impulse teams to recognize the sound of glass breaking.

Compatible Blocks

Dataset Details

  • 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

Usage

  • Download

    • HuggingFace - Soon

    • Kaggle - Soon

  • Import this dataset to your Edge Impulse project

Citation

If you use this dataset in your research paper, please cite it using the following BibTeX:

@misc{edgeimpulse_dataset_497425,
    title = {Audio Classification - Glass breaking},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497425/latest},
    note = {Apache 2.0}
}

The synthetic data has been generated using the .

You can also have a look at the blog post .

Feature extraction: , ,

Learning block:

Not sure what to choose? Try out this dataset with the .

Clone the

To clone and use this project, visit the , click on the Clone button on the top-right corner and follow the cloning instructions.

This project uses the Edge Impulse Exporter Format (info.labels). See this for more info.

Edge Impulse also supports different and that you can import into your project to build your edge AI models:

Edge Impulse's ElevenLabs.io integration
That Sounds Great: Create Ultra-Realistic Audio Datasets with ElevenLabs.io
Audio (MFE)
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