On Tue, 4 Jul 2000, Phil Taylor wrote:
...
> It looks like my idea of converting tunes to protein symbols in
> order to use existing biological search and alignment routines won't
> work very well. The problem is that the statistical distribution
> of amino acids in proteins is very different from that of musical
> intervals. There are twenty amino acids; the commonest accounts
> for about 10% of an average protein, while the rarest accounts for
> about 1%. In music, there is an indeterminate number of intervals
> (they just get rarer as you get further away from unison); the
> commonest (+- two semitones) accounts for about 25% of an average
> tune, while the rarest is very very improbable. The algorithms
> can deal with this, but it basically means re-writing the software
> to deal with the extra symbols, and applying a powerful system
> of weighting to the matches.
Now, assume that we take a sample of, say, 5000 tunes and calculate the
"spectrum" along the lines the way you mentioned in your other "Do-Re-Mi"
mail.
Do you feel that those note distributions/spectra could be used
for calculating some similarity index between each pair of tunes in order
to draw a phylogenetic tree similar to the one you wanted to to with amino
acid sequence method? It does seem feasible to me.
The other interesting usage, to use this for tune searching seems far more
difficult
Sigge
To subscribe/unsubscribe, point your browser to: http://www.tullochgorm.com/lists.html
