I would like to take this opportunity to thank everyone who has replied to my question over the last week. I greatly appreciate all your recommendations and am currently working my way through your suggestions. The discussions that have been raised have shown me that this is a more complex issue than I initially suspected, and I need to decide exactly what I hope to achieve from my analysis - particularly to distinguish between perceptual features and pure mathematical data - before delving any further. I appreciate the time taken by those of you who replied and hope to thank you personally in the future - I'm swamped by the response that I've got.
On the one hand I'm delighted to have raised such a complex
topic that has sparked so many responses and discussions between such experts as yourselves. On the other, it'd great if there was an algorithm whereby sound in gives F0 out....if I happen to develop one any time soon I'll be sure to let you all know!
----- Original Message ----
From: Roisin Loughran <roisinaud@xxxxxxxxxxx>
Sent: Wednesday, 31 January, 2007 5:11:52 PM
Subject: [AUDITORY] Robust method of fundamental frequency estimation.
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
Any suggestion would be greatly appreciated,
Thanks in advance,
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