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--- |
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license: apache-2.0 |
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pipeline_tag: audio-to-audio |
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tags: |
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- pytorch |
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- audio |
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- upsampling |
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--- |
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# FlashSR |
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FlashSR is a 2MB audio super-resolution model based on the HierSpeech++'s upsampler architecture. It upscales 16kHz audio to 48kHz at speeds ranging from 200x to 400x real-time. |
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### Details |
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* **Model Size:** 2MB for pytorch version, 500KB for onnx version |
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* **Input Rate:** 16kHz |
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* **Output Rate:** 48kHz |
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* **Inference Speed:** 200x - 400x real-time depending on gpu and dtype |
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### Performance Summary |
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FlashSR is designed for high-speed frequency reconstruction. It offers a significantly lower computational footprint compared to alternatives such as Resemble-Enhance and ClearerVoice, while maintaining similar output quality. |
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### Benchmark Comparison |
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| Model | Speed | Size | |
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| :--- | :--- | :--- | |
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| **FlashSR** | **200x - 400x realtime** | **2MB/500KB** | |
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| Resemble-Enhance | < 20x realtime | ~700MB+ | |
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| ClearerVoice | < 20x realtime | ~200MB+ | |
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### Usage |
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Usage instructions for onnx/pytorch and source code are available on GitHub: |
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https://github.com/ysharma3501/FlashSR |
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### Credits |
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Thanks to the authors of **HierSpeech++** as this was based on it's 48khz upsampler and [Xenova](https://github.com/xenova/) for onnx code. |
