Moonshine Tiny

Model Overview

Moonshine is a high-efficiency automatic speech recognition (ASR) model designed specifically for real-time speech recognition. Unlike Whisper, which processes audio in fixed 30-second chunks, Moonshine uses a variable-length architecture that only computes the actual duration of the speech received.

Useful Sensors developed Moonshine and released the English model as open-source. There are 2 models of different sizes and capabilities - base and tiny. The tiny version utilizes 27M parameters.

Moonshine Tiny has been optimized for the Synaptics Astra™ SL2610-Series processors with Torq NPU.

Model Features

• Model Type: Automatic Speech Recognition
• Input: Raw waveform (1D array of floats) 16kHz mono audio up to 30 seconds
• Output: Sequence of token IDs (integers)

Deployment

The compiled model files are available for download on Huggingface at Synaptics/Moonshine.

Usage tutorial to be available in the future at Synaptics AI Developer Zone.

License

Both the source model and the compiled model for on-device deployment are licensed under MIT License.

Learn More

• Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
• Astra Support Portal: Connect with our engineering team and community.