Submitted by CeFurkan t3_112xyjq in MachineLearning
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Submitted by CeFurkan t3_112xyjq in MachineLearning
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I'm aware of a Neurips paper that talks about audio super resolution - Paper and Codebase.
You can see some indicative samples on the author's website https://kuleshov.github.io/audio-super-res/
Thank you so much will check out
what does "improve" mean to you?
Sounding better to the ears. I don't know perhaps compare with my newest sound quality : https://youtu.be/vhqqmkTBMlU
Currently it is sounding irritating
Made an issue on their github
I Hope author replies back
You have any experience?
Nope, I just read the paper and remembered the repository. Hope you get it running! DCUNet is another good DNN model, but it's primarily just for denoising
Thanks a lot for replies
If you remember any other please let me know
For denoise Nvidia really good
so just use the traditional tools that people have been using for decades... eq and compression.
Check out the new “podcast” tool from Adobe. It’s free, for now
I have no experience or skill with that :/
I also have no drawing skills but with SD now can do generate very good art
Perhaps same possible for audio too?
The one that removes noise? Or anything new?
I tested remove noise works good but when I feed this no improvements :/
CeFurkan OP t1_j8mqni7 wrote
5 min speech example : http://sndup.net/gxrq
noise removed with NVIDIA broadcast