TinyMLfamily
Silicon Labs MLTK keyword spotting models
Keyword and wake-word models that Silicon Labs publishes with its Machine Learning Toolkit tutorials for EFR32 wireless microcontrollers.
Levelfamily
ClassTinyML
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onmicrocontroller
Statusactive
Lineage
Keyword Spotting Numbers belongs to this familyTinyMLKeyword Spotting On/Off v3 belongs to this familyTinyMLWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- Silicon Labs
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- MLTK reference models: Keyword Spotting On/Off (v1 to v3), MobileNetv2, with Transfer Learning, Pac-Man (v1 to v3), Alexa and Numbers.
- Context length
- not in the notes
- Input
- audio
- Output
- labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- microcontroller
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperSilicon Labscompany
Silicon LabscompanyModelSilicon Labs MLTK keyword spotting modelsSilicon Labs, TinyML
Silicon Labs MLTK keyword spotting modelsSilicon Labs, TinyMLUse Casesnone recorded
Who Runs Itnone recorded
Models 2
Organisations 1
R&D topics 2
Sources
- siliconlabs.github.io/mltk/docs/python_api/models/siliconlabs/index... https://siliconlabs.github.io/mltk/docs/python_api/models/siliconlabs/index.html
- github.com/SiliconLabs/mltk/tree/master/mltk/models/sili... https://github.com/SiliconLabs/mltk/tree/master/mltk/models/siliconlabs
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Silicon Labs MLTK Keyword Spotting Models", https://aurion.semai.id/models/silicon-labs-mltk-kws/, records of October 2026.