| --- |
| library_name: torq |
| tags: |
| - Automatic Speech Recognition |
| - Astra SL |
| - SL2600 |
| - MPU |
| license: mit |
| base_model: |
| - Synaptics/Moonshine |
| base_model_relation: quantized |
| --- |
| |
| # Moonshine Tiny |
|
|
| ## Model Overview |
|
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| 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. |
|
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|
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| 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) |
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|
|
| ## Deployment |
|
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| The compiled model files are available for download on Huggingface at [Synaptics/Moonshine](https://huggingface.co/Synaptics/Moonshine). |
|
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| Usage tutorial to be available in the future at [Synaptics AI Developer Zone](https://developer.synaptics.com/docs/sl/sl2600/introduction). |
|
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|
|
| ## License |
|
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| Both the source model and the compiled model for on-device deployment are licensed under [MIT License](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md). |
|
|
| ## Learn More |
|
|
| - [Synaptics AI Developer Zone](https://developer.synaptics.com?utm_source=hf): Get started with documentation, tutorials and resources for your Edge AI journey. |
| - [Astra Support Portal](https://synacsm.atlassian.net/servicedesk/customer/portal/543?utm_source=hf): Connect with our engineering team and community. |
