Great to hear! I’m looking forward to Awesome version 2! (though it might lose some “character” 
)
Do you not get the same results with -o2? What type of samples is that with, do you notice a difference between those that show a clear fundamental (one primary peak and valley), and those that consist primarily of overtones (two or more peaks & valleys)?
If so, it could be worth thinking about selecting the phase of an overtone if the fundamental has a low power, or perhaps the pitch detection should more eagerly reject low power fundamentals (with additional benefit that you get higher wave resolution)…
@ARTRAG Thanks for the pointers! I had found PEFAC cited in the source code (am about to read it, I read YIN yesterday), I’ll add RAPT to my reading list as well! From what I see so far PEFAC works based on the spectrogram and uses the presence of overtones to its advantage, like I was curious about before, so definitely interesting. It does inspire me with a bit more confidence than the time-domain autocorrelation-based algorithms.
Great to hear! I’m looking forward to Awesome version 2! (though it might lose some “character” )
Here it is Awesome-update
