Is there a way to obscure speech recording so there is no way to play it and get something intelligible, but still keep it useful for machine learning?
Depends how you define "obscure", "useful", etc.
Maybe feed it directly to your machine then trash it? The info will still be vulnerable when in transit or in memory though.
I would like to store data for experiments, unfortunately just using and momentarily discarding it defeats the reason for collecting it.
The only data transformation which wouldn't be trivial to reverse is encryption. But you still need to trust yourself, the machine, the network, and everything in between to not leak the key or the data.
If you "obscure" the data enough, then it won't be useful. There's no solution to your problem as far as I can tell.
maybe define some audio noising function. Then apply the noising function to your training data, and train your network to output the denoised version?
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Trying to avoid getting deep faked or why, explicitly, and what do you want the ML to produce? Interesting question btw