File size: 1,242 Bytes
80ef68b 1732986 80ef68b ee7c892 1732986 ee7c892 b6d4337 ee7c892 1732986 3e19cc9 1732986 3e19cc9 1732986 3e19cc9 1732986 3e19cc9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
---
license: apache-2.0
pipeline_tag: audio-to-audio
tags:
- pytorch
- audio
- upsampling
---
# FlashSR
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.
### Details
* **Model Size:** 2MB for pytorch version, 500KB for onnx version
* **Input Rate:** 16kHz
* **Output Rate:** 48kHz
* **Inference Speed:** 200x - 400x real-time depending on gpu and dtype
### Performance Summary
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.
### Benchmark Comparison
| Model | Speed | Size |
| :--- | :--- | :--- |
| **FlashSR** | **200x - 400x realtime** | **2MB/500KB** |
| Resemble-Enhance | < 20x realtime | ~700MB+ |
| ClearerVoice | < 20x realtime | ~200MB+ |
### Usage
Usage instructions for onnx/pytorch and source code are available on GitHub:
https://github.com/ysharma3501/FlashSR
### Credits
Thanks to the authors of **HierSpeech++** as this was based on it's 48khz upsampler and [Xenova](https://github.com/xenova/) for onnx code. |