I'm looking for some good resources to learn audio processing for a machine learning task based on classification of users as either 'COVID-19 positive' or 'COVID-19 negative' based on their cough data. I'll need to extract features from audio files containing cough from a bunch of volunteers before using those features to train an ML model.
I tried looking some books up, but just about all of them seemed to treat this problem either too programmatically or incompletely; skipping over all the theoretical aspects for the same. Books on DSP seemed too generic to cover some important audio processing techniques. So, what I'm looking for are resources that can help me understand audio processing thoroughly, including (but not limited to) the topics mentioned below:
- Feature Extraction
- Audio Data Augmentation
- Audio Data Synthesis
Please note that I am a beginner, and have had no background in DSP (though I have no problem referring some books for this too before narrowing my focus down to audio signal processing if required) or any related field before. Also, the resource you recommend doesn't have to be a book - I'm fine with tutorials, blogs, articles, etc. as long as they are comprehensive enough and don't skip over the relevant theory. Multiple resources encompassing these topics are wholeheartedly welcomed.
Any help is much appreciated.