| license: mit | |
| language: | |
| - en | |
| library_name: onnx-asr | |
| tags: | |
| - onnx | |
| - onnx-asr | |
| - automatic-speech-recognition | |
| - moonshine | |
| base_model: UsefulSensors/moonshine-tiny | |
| # Moonshine Tiny (ONNX) | |
| Moonshine Tiny is a compact English speech-to-text model from | |
| [Useful Sensors](https://github.com/usefulsensors/moonshine). 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-tiny-ONNX](https://huggingface.co/onnx-community/moonshine-tiny-ONNX), | |
| kept so that the OpenVoiceOS ONNX ASR collection is self-contained. The | |
| weights are unchanged. | |
| ## Usage | |
| ```py | |
| import onnx_asr | |
| model = onnx_asr.load_model("moonshine-tiny") | |
| print(model.recognize("test.wav")) | |
| ``` | |
| Quantized variants load with the `quantization` argument: | |
| ```py | |
| model = onnx_asr.load_model("moonshine-tiny", quantization="quantized") | |
| ``` | |
| ## Credits | |
| Model by Useful Sensors Inc., released under the MIT license. Paper: | |
| [Moonshine: Speech Recognition for Live Transcription and Voice Commands](https://arxiv.org/abs/2410.15608). | |
| ONNX export by [onnx-community](https://huggingface.co/onnx-community). | |
| ## License | |
| MIT | |