Project AURIONAI Use-Cases Research & Innovation
TinyML

Microspeech LSTM

LSTM command recognition model trained on the Speech Commands dataset, published in the NXP eIQ model zoo.

NXP SemiconductorsNXP SemiconductorsNetherlands
NXP Semiconductors
Levelmodel
ClassTinyML
Parameters119.9K
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onmobile or NPU
Statusactive

R&D Topics

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

Identity

Developer
NXP Semiconductors
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
other RNN (LSTM)
Total parameters
119.9K sources
Active parameters
–
Checkpoint parameters
–
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
mobile or NPU
Footprint
About 120K parameters, 122 KB FP32 or 123 KB INT8; listed as compatible with i.MX 8MP and i.MX 93.
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. github.com/NXP/eiq-model-zoo/tree/main/tasks/audio/comma... https://github.com/NXP/eiq-model-zoo/tree/main/tasks/audio/command-recognition

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Microspeech LSTM", https://aurion.semai.id/models/nxp-microspeech-lstm/, records of October 2026.