I wrote Python scripts to create a spectrum analysis of audio files. The goal is to compare multiple spectrums to get the dB difference at certain frequencies.
When I started using the Sonic Visualizer tool for my first analyses, then switched to my automated solutions using Python with SciPy and NumPy, I noticed a large difference in the values of the spectrum analysis.
It seems Sonic Visualizer uses the power scale, while most other audio tools use the root-power scale for the spectrum analysis.
Now I am a little bit confused about the two quantities.
Shall one use the power scale or the root-power scale for spectrum analysis of audio files?