| You should take into account that each F0-estimation method is "accompanied" by robustnes features, it's never the pure autocorrelation or cepstrum. Even when originally developed for speech pitch-tracking (?) you should check out the PRAAT software (www.fon.hum.uva.nl/praat/), where also the C-sources are provided. I remember to check its autocorrelation-based method for real instrument recordings and the results where quite ok. Maybe you'll find some inspiration for your particular problem. There is also some Matlab source-code for the YIN algorithm avaiable but I cannot find the link anymore :-(.
Success!!
Milo On Jan 31, 2007, at 6:11 PM, Roisin Loughran wrote: Dear list,
I was wondering if any of you know the most robust way to calculate the fundamental frequency of a note across the range of a variety of instruments?
I'm currently working on a matlab program and have tried using the auto-correlation method and the cepstrum method but have found that these both have difficulty in calculating f0 of timbre-rich tones such as those from a piano - particularly in the lower pitch ranges. Does anyone know of a method that is more reliable in these regions or is it necessary that I investigate such complex tones by a different means? From examining a number of the FFTs from these signals it is tempting to just pick the first strongest partial - the complex overtones just seem to confuse the more complicated algorithms, but I realise that this is hardly a reliable approach.
Any suggestion would be greatly appreciated,
Thanks in advance,
Roisin Loughran
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-------------------------------------------------------------- Matthias Milczynski PhD Student ExpORL, Dept. Neurosciences, K.U.Leuven Belgium
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