# which features fundamental frequency is correlated?

I'm unable to compute $$f_0$$ (fundamental frequency) in librosa feature extraction. By ready much in github issues check the second comment. I see that $$f_0$$ is correlated with some other features (like zero_crosssing) easy to extract from librosa.

What are these features except for that one I give? Is this correlation super high so that they can replace $$f_0$$?

site for data

• I mean fundamental frequency, I edited the post. – abdoulsn Nov 17 '19 at 18:11
• updated again the post. – abdoulsn Nov 17 '19 at 18:18
• so, are you specifically interested in a YIN-based fundamental frequency estimate, or is the question more generally, "what features correlate well with fundamental frequency"? In either case, are we looking at a specific kind of signal (speech, instrumental music, birdsong, cars...)? – Marcus Müller Nov 17 '19 at 18:29
• This is generally question, I'm using speech emotion data(.wav audio file with one expression). – abdoulsn Nov 17 '19 at 18:30
• Like, upload one of your .wav files somewhere and link to that! – Marcus Müller Nov 17 '19 at 18:35