You could try matching say a lowered jaw with low octaves and a
cheeky jaw with high octaves.
JAT
Karl
On Jun 2, 2010, at 3:20 PM, Eric E. Dolecki wrote:
This is a software voice, so nailing down vowels should be easier.
However
you mention matching recordings with the live data. What is being
matched?
Some kind of pattern I suppose. What form would the pattern take?
How long
of a sample should be checked continuously, etc.?
It's a big topic. I understand your concept of how to do it, but I
don't
have the technical expertise or foundation to implement the idea yet.
Eric
On Wed, Jun 2, 2010 at 4:13 PM, Henrik Andersson
<he...@henke37.cjb.net>wrote:
Eric E. Dolecki wrote:
I have a face that uses computeSpectrum in order to sync a mouth
with
dynamic vocal-only MP3s... it works, but works much like a robot
mouth.
The
jaw animates by certain amounts based on volume.
I am trying to somehow get vowel approximations so that I can
fire off
some
events to update the mouth UI. Does anyone have any kind of algo
that can
somehow get close enough readings from audio to detect vowels?
Anything I
can do besides random to adjust the mouth shape will go miles in
making my
face look more realistic.
You really just need to collect profiles to match against. Record
people
saying stuff and match the recordings with the live data. When
they match,
you know what the vocal is saying.
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Interactive design and development
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Karl DeSaulniers
Design Drumm
http://designdrumm.com
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