Project AURIONAI Use-Cases Research & Innovation
speech recognition

Moonshine (Moonshine Voice)

Edge ASR model; LICENSE contains MIT text and also mentions non-commercial terms, so per-model terms are unverified.

Useful SensorsUseful SensorsUSA
Useful Sensors
Levelmodel
Classspeech recognition
Parametersnot in the notes
Contextnot in the notes
Released2024
Opennessunknown
Runs onCPU server, embedded GPU, mobile or NPU
Statusactive

R&D Topics

Streaming and low-latency speech recognitionexemplar

Identity

Developer
Useful Sensors
Family
not in the notes
Released
2024 sourcesnotesunverified
Weights published
–
Record checked
10 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 Encoder-decoder for edge
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
27M to 331M
Context length
not in the notes
Input
audio
Output
text
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
CPU server, embedded GPU, mobile or NPU
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
English-focused
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. Gladia - Best open-source speech-to-text models in 2026 gladia.io https://www.gladia.io/blog/best-open-source-speech-to-text-models
  2. GitHub - moonshine-ai/moonshine: Very low latency speech to text, intent recognition, and text to speech, for building voice agents and inte github.com/usefulsensors/moonshine https://github.com/usefulsensors/moonshine
  3. GitHub - moonshine-ai/moonshine: Very low latency speech to text, intent recognition, and text to speech, for building voice agents and inte github.com/usefulsensors/moonshine https://github.com/usefulsensors/moonshine

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Moonshine (Moonshine Voice)", https://aurion.semai.id/models/useful-sensors-moonshine/, records of October 2026.