If your current tool of lower quality than Spleeter by Deezer, which can be found at 
```
https://github.com/deezer/spleeter
```
You should use this tool to extract the audio.  However, if the audio extraction is still low quality (which can be caused by a large amount of background noise, or by side-chain compression which is not normally audible to an average listener)
 there do not currently exist many options for repairing this lost information.  However, there are a couple of experimental things you can try:
1) Use the audio in a noisy mix to cover up imperfections
2) Convert the audio to a spectrogram and feed it into a stable diffusion model which processes spectrograms (such as *https://huggingface.co/riffusion/riffusion-model-v1*) and perform an img2img conversion with various stable-diffusion temperatures until you get something equal or better than the original audio stem
3) Pre-process the full audio track by filtering as much of the non-vocal audio as possible before running the track through an AI stem splitter tool to improve output.  This can be done for free in Audacity or, preferably a Digital Audio Workstation such as Waveform or Ardour (both are free)
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