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.
1import onnx_asr
2
3model = onnx_asr.load_model("moonshine-base")
4print(model.recognize("test.wav"))
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.
