>normalized to fundamental frequency or not
>normalized (so that no pitch detector is needed)?

Yeah tonal signals open up a whole other can of worms. I'd like to
understand the broadband case first, with relatively simple spectral
statistics that correspond to the clever time-domain estimators discussed
so far in the thread.

The ideas for time-domain approaches got me thinking about what the optimal
time-domain approach would look like. But of course it depends on what
definition of spectral centroid you use. For the mean of the power spectrum
it seems relatively straightforward to get some tractable expressions - I
guess this is the inspiration for the one based on an approximate
differentiator. But I suspect that mean of the log power spectrum is more
perceptually meaningful.

E

On Wed, Feb 17, 2016 at 8:34 PM, robert bristow-johnson <
r...@audioimagination.com> wrote:

>
>
> ---------------------------- Original Message ----------------------------
> Subject: Re: [music-dsp] Cheap spectral centroid recipe
> From: "Ethan Duni" <ethan.d...@gmail.com>
> Date: Wed, February 17, 2016 11:21 pm
> To: "A discussion list for music-related DSP" <
> music-dsp@music.columbia.edu>
> --------------------------------------------------------------------------
>
> >>It's essentially computing a frequency median,
> >>rather than a frequency mean as is the case
> >>with the derivative-power technique described
> >> in my original approach.
> >
> > So I'm wondering, is there any consensus on what is the best measure of
> > central tendency for a music signal spectrum? There's the median vs the
> > mean (vs trimmed means, mode, etc). But what is the right domain in the
> > first place: magnitude spectrum, power spectrum, log power spectrum or
> ???
>
> normalized to fundamental frequency or not normalized (so that no pitch
> detector is needed)?  should identical waveforms at higher pitches have the
> same centroid parameter or a higher centroids?
>
> spectral "brightness" is a multi-dimensional perceptual parameter.  you
> can have two tones with the same spectral centroid (however consistent way
> you measure it) and sound very different if the "second moment" or
> "variance" is much different.
>
>
>
> --
>
>
> r b-j                   r...@audioimagination.com
>
>
>
>
> "Imagination is more important than knowledge."
>
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> music-dsp@music.columbia.edu
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