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. > _______________________________________________ > Flashcoders mailing list > Flashcoders@chattyfig.figleaf.com > http://chattyfig.figleaf.com/mailman/listinfo/flashcoders > -- http://ericd.net Interactive design and development _______________________________________________ Flashcoders mailing list Flashcoders@chattyfig.figleaf.com http://chattyfig.figleaf.com/mailman/listinfo/flashcoders
