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It seems like there's a need for more built-in tools like this.
I'd strongly recommend using them as post-processing tools rather than operating on the input stream or replacing the raw files. If you retain your original recordings you can always process them again using different parameters.
I'm not sure that Spleeter would be my first choice, and would require you to have training data for what you are trying to separate out. However a more generic noise removal tool could be very helpful. I'd assume that most people use more traditional tools like Audacity.
The ML noise removal tools are absolutely magic and much better than traditional like audacity in my opinion - these are coming pertained Ultimate Vocal remover being a very good example. Traditional tools won't catch a lot of the noises that we experience when we don't have a professional recording studio in our houses.
It says in t doc that any auditable noise will make bade samples.
Could we use something like
https://github.com/deezer/spleeter
To remove the background noise?
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