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Hi, I want to detect the ood samples while performing one class classification. However my data is not consisting of images but signals like sound. Could this method be applicable to my scenario? Or do you have any suggestion regarding my scenario? Since I am not sure how I can rotate the signals. Thanks in advance
The text was updated successfully, but these errors were encountered:
You might it useful to use more recent self-supervised techniques https://github.com/alinlab/CSI If you search "self-supervised learning speech" that might help.
Hi, I want to detect the ood samples while performing one class classification. However my data is not consisting of images but signals like sound. Could this method be applicable to my scenario? Or do you have any suggestion regarding my scenario? Since I am not sure how I can rotate the signals. Thanks in advance
The text was updated successfully, but these errors were encountered: