Ant-Brain / EfficientWord-Net
OneShot Learning-based hotword detection.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Home assistants require special phrases called hotwords to get activated (e.g., "OK Google"). EfficientWord-Net is a hotword detection engine based on few-shot learning that allows developers to add custom hotwords to their programs without extra charges. The library is purely written in Python and uses Google's TFLite implementation for faster real-time inference. It is inspired by FaceNet's Siamese Network Architecture and performs best when 3-4 hotword samples are collected directly from the user.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 320
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- stable
- Released 4 years ago
- Built with
- Jupyter Notebook
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 89% closed
- 5 still open
- Pull requests
- 5 merged
- 4 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Jupyter Notebook 92%
- Python 8%
Topics
- tensorflow
- machine-learning
- artificial-intelligence
- siamese-neural-network
- siamese-network
- one-shot-learning
- convolutional-neural-networks
- cnn
- iot
- hotword-detection
- wakeword
- python
Project record
- JobOther AI tools
- StatusListed
- Commits68
- Forks50
- Watching12
- Stars in 28 days+1
- CreatedSep 23, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026