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Re: Determining peak frequencies

Subject: Re: Determining peak frequencies
From: "Peter Shute" pshute2
Date: Wed Nov 21, 2012 12:29 pm ((PST))
Yes, there's a spectrum option in Audacity's Analysis menu. I think Sonic 
Visualiser also does it, perhaps even live as you play the track?

Playing with it, if I was trying to use it to determine either the highest or 
the loudest frequency in a call, I'd be wondering what I should set the "size" 
parameter to. Its value has a dramatic effect on the resulting graph.

I'm under the impression that a large value makes the graph more accurate for 
low frequencies, and a low  value is best for high frequencies. So if I was 
trying to determine the highest frequency, I should set it to a low value? But 
how low? Doesn't it depend on how high that frequency is?

Obviously I don't know what that frequency is yet, so how do I know what to set 
it to? Similar problem for the highest frequency.

What does one do? In practice, is there a FFT window size setting that everyone 
uses to determine these things?

And for the highest frequency, how does one distinguish the call from mic hiss, 
etc?

Peter Shute

> -----Original Message-----
> From:  
>  On Behalf Of Avocet
> Sent: Thursday, 22 November 2012 2:49 AM
> To: 
> Subject: Re: [Nature Recordists] Re: Determining peak frequencies
> 
>   
> 
> > Raven Lite's the only sound analysis software with which 
> I'm familiar; 
> > this is probably unreasonable, but do you happen to know of 
> any very 
> > inexpensive software that can generate power spectrum charts?
> 
> Alan,
> 
> Audacity - it's free. It does both audiograms and power 
> spectra and is worth putting up with a few fiddly wrinkles.
> http://audacity.sourceforge.net
> 
> Sorry to be picky over the terminology but "peak frequency" 
> can be taken to mean the highest frequency or the frequency 
> at the highest level which is really the peak power frequency 
> which can be anywhere in the call.
> 
> If I have a variable pitch call I would select the peak 
> frequency (highest frequency) and plot the power at that 
> frequency on the power spectrum. If I want the peak power 
> frequency (over the lenght of a
> call) the power spectrum plotted over the whole call provides this.






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