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moonshine-base-onnx
OpenVoiceOS/moonshine-base-onnx
moonshine-base-onnx is a automatic speech recognition model from OpenVoiceOS. Use it when you need speech turned into text. It is set up for onnx-asr. The card lists the license as mit.
Moonshine Base is a compact English speech-to-text model from Useful Sensors. It is an encoder-decoder model that reads the raw 16 kHz waveform, so it needs no log-mel preprocessor.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- onnx-asr
- License
- mit
- Model type
- moonshine
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026
- SHA
- 178f2629
Base models
Model card
From the Hugging Face model README
Moonshine Base (ONNX)
Moonshine Base is a compact English speech-to-text model from Useful Sensors. It is an encoder-decoder model that reads the raw 16 kHz waveform, so it needs no log-mel preprocessor.
This repository is a mirror of the official ONNX export onnx-community/moonshine-base-ONNX, kept so that the OpenVoiceOS ONNX ASR collection is self-contained. The weights are unchanged.
Usage
import onnx_asr
model = onnx_asr.load_model("moonshine-base")
print(model.recognize("test.wav"))
Quantized variants load with the quantization argument:
model = onnx_asr.load_model("moonshine-base", quantization="quantized")
Credits
Model by Useful Sensors Inc., released under the MIT license. Paper: Moonshine: Speech Recognition for Live Transcription and Voice Commands. ONNX export by onnx-community.
License
MIT
- Task
- Automatic Speech Recognition
- Library
- onnx-asr
- Type
- moonshine
- License
- mit
- Languages
- en
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026