This is my first question for this community. My connection to DSP comes via machine learning/deep learning, and I am working in the Python ecosystem.
As a preprocessing step to audio classification, I am looking for a simple method to reduce noise.
Getting a noise sample manually is doable for denoising a few recordings. However, it does not scale to processing thousands of recordings with different noise types and volumes.
Can you recommend a method for automatically obtaining a noise sample from every recording? Alternatively, denoising methods that do not require a noise sample as input?