Keyword Spotting

Task: Audio Classification

License: BSD 3-Clause Clear

Dataset Screenshot

Description

Have you ever wanted to make your own "Ok, Google" or "Alexa" keyword spotting model? The helloworld class has been collected by Edge Impulse teams, the added noise samples come from the Microsoft Scalable Noisy Speech Dataset and the unknown samples are based on a subset of data in the Google Speech Commands Dataset.

This dataset can be used to build an Edge AI project detecting the "Hello World" keyword phrase.

You can also follow our tutorial to guide you through building your keyword spotting model, from data collection to deployment on embedded devices.

Compatible Blocks

• Feature extraction: Audio (MFCC), Audio (MFE), Spectrogram, Raw Data

• Learning block: Classification, Transfer Learning (Keyword Spotting)

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

Dataset Details

• Total Data Items: 2062

• Total Data Length: 0h 34m 22s

• Axis Summary: audio

• Labeling Method: single label

• Train/Test Split: 79.97% / 20.03%

	Training Set	Testing Set
Total Data Items	1649	413
Labels	helloworld, noise, unknown	helloworld, noise, unknown
Total Data Length	0h 27m 29s	0h 6m 53s

Usage

• 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

  • Direct link

  • 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:

  • Studio uploader

  • CLI uploader

  • CSV Wizard

  • Python SDK

  • Ingestion API

  • Import from S3 buckets

  • Upload portals

Citation

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

@misc{edgeimpulse_dataset_499022,
    title = {Audio Classification - Keyword Spotting},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/499022/latest},
    note = {Apache 2.0}
}