Project AURIONAI Use-Cases Research & Innovation
TinyML

Hello Edge KWS DNN (small, medium, large)

DNN keyword spotting model from the Hello Edge study, published in Arm ML-Zoo for microcontroller deployment.

ArmArmHello Edge keyword spotting modelsFamily
Arm
Levelvariant
ClassTinyML
Parametersnot in the notes
Contextnot in the notes
Released20 Nov 2017
Opennessunknown
Runs onmicrocontroller
Statusactive

R&D Topics

Keyword spotting and audio event detection on microcontrollersproduced byTinyML on microcontrollersproduced by

Runtimes

TensorFlow Lite for Microcontrollers (TFLM)google, apache-2-0

Identity

Developer
Arm
Family
Hello Edge keyword spotting models
Released
20 Nov 2017 sourcesannouncement page
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
other
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
Small, medium and large sizes in INT8 and FP32 TFLite; Arm ML-Zoo README ticks Cortex-M support. Repository licence Apache-2.0 per the coverage entry.
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
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
microcontroller
Footprint
not in the notes
Runtimes
TensorFlow Lite for Microcontrollers (TFLM)
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/1711.07128 https://arxiv.org/abs/1711.07128
  2. GitHub - Arm-Examples/ML-zoo github.com https://github.com/ARM-software/ML-zoo
  3. github.com/ARM-software/ML-zoo/tree/master/models/keywor... https://github.com/ARM-software/ML-zoo/tree/master/models/keyword_spotting

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Hello Edge KWS DNN (Small, Medium, Large)", https://aurion.semai.id/models/arm-hello-edge-kws-dnn/, records of October 2026.