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YatharthS/NovaSR
NovaSR is a audio-to-audio model from YatharthS. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is the model for NovaSR, a tiny 50kB audio upsampling model that upscales muffled 16khz audio into clear and crisp 48khz audio at speeds from 100-3500x realtime.
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From the Hugging Face model README
This is the model for NovaSR, a tiny 50kB audio upsampling model that upscales muffled 16khz audio into clear and crisp 48khz audio at speeds from 100-3500x realtime.
Comparisons were done on A100 gpu. Higher realtime means faster processing speeds. Comparison on CPU are coming soon.
| Model | Speed (Real-Time) | Model Size |
|---|---|---|
| NovaSR | 3600x realtime | ~52 KB |
| FlowHigh | 20x realtime | ~450 MB |
| FlashSR | 14x realtime | ~1000 MB |
| AudioSR | 0.6x realtime | ~2000 MB |
Random 3s examples from datasets
Before: <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/QpAOsX5_JVsJz94v7Rv4i.wav"></audio>
After: <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/WeOGZj8FuhjsJplJS_5gH.wav"></audio>
Before: <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/a6kwpYncA3en20WTWjEAy.wav"></audio>
After: <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/FEujKVE0hH46jhiy1EWp5.wav"></audio>
Before(music): <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/sSYEhO__0MRyNxl8w28YS.wav"></audio>
After(music): <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/69179c7706b20ca67e59b036/S0qT-o992SlbVptn-om04.wav"></audio>
Please check out the github repo for usage: https://github.com/ysharma3501/NovaSR
You can also try it on spaces: https://huggingface.co/spaces/YatharthS/NovaSR
If you find the model/code helpful, stars or likes would be appreciated. Thank you.