I have been generating spectrograms using Python and libraries such as scipy, librosa and matplotlib, and it uses far too much resources (taking about a few minutes and GB of memory for hours long files) compared to audacity. I am pretty sure this cannot be explained only by the difference between Python and C++. I tried to dig into the code to see if there is a trick I can reproduce in a Python version but without success for now.
Is there anyone here who could point me into the right direction?
Thanks in advance.