ive heard a lot of times that natural sounds has more spectral richness that digital generated sounds... is it possible to measure the spectral richness of a sound?
thanks
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Richness is subjective as far as I understand - you could do an FFT-style frequency analysis, and there are ways to "enhance" sounds and timbres like the mastering tools they use in studios - don't they usually call these "sonic maximizers" or something? Or exciters?
I would humbly suggest to do what sounds good to you! This also sounds like it could potentially go toward the "analog vs digital" argument, which I don't really buy into - but maybe that's a whole other quagmire. Also, what is "natural"?
"By the late twentieth century, our time, a mythic time, we are all chimeras, theorized and fabricated hybrids of machine and organism; in short, we are cyborgs. Ths cyborg is our ontology; it gives us our politics." Donna Haraway, "A Cyborg Manifesto"
cheers! km
On Feb 12, 2008 4:45 PM, punchik punchik punchikk@yahoo.com wrote:
ive heard a lot of times that natural sounds has more spectral richness that digital generated sounds... is it possible to measure the spectral richness of a sound?
thanks
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Hi,
On Tue, 2008-02-12 at 13:45 -0800, punchik punchik wrote:
ive heard a lot of times that natural sounds has more spectral richness that digital generated sounds... is it possible to measure the spectral richness of a sound?
There isn't a standard metric for 'richness' as far as I know. However, you might be able to break down the 'richness' percept into a number of features that can be measured.
Things that spring to mind as contributing to perceived richness are:
harmonic signal)
spectrum between frames
You could try to find a mathematical relationship between these factors that corresponds to the richness percept, or you could use some kind of classifier which you would 'train' to relate a given richness input vector (npartials, inharmonicity, flux) with a perceptually determined output measure of richness. One of the simplest classifiers for this is the k-NN classifier.
Jamie