Fft question: Do I need overlaps if I’m only grabbing some features like mel or bark? I don’t even necessarily need every frame of a STFT even one every second or so works. How I understand fft overlapping is that each overlap sums together after the final window after the inverse fft. However, for my needs I do not even do an inverse fft and I only extract mel and similar features in the frequency domain. So do I need to do overlapping for my use case? It doesn’t seem like the feature values i extract even consider the overlap.
Unless I’m supposed to combine overlapping fft values for the feature extraction itself??? Actually this makes me wonder if I should be doing that when extracting feature because some info is lost from the windowing to prevent spectral leaking. If that’s the case then do I just sum the window overlaps together after the fft and before feature extraction??
Because I don’t do that for spectral audio processing (again, i only sum after the final window after the ifft..) Thanks!