alex stone wrote: > If you're intent on automating a speech analysis, voice noise removal > device of some sort, then you might do well to start with a 'pre and > post' framework. Things like lipsmacking, glottal and nasal noise for > the end of phrase, etc, are fairly easy to identify, and generally occur > pre and post. So that may well be a decent percentage of any cleanup > done quickly. (Dependent of course on language. Cleaning up russian > would be a different 'module' to cleaning up French, or Finnish.)
That sounds encouraging. What to you mean by "pre and post" (sorry if that's an obvious question to you)? > And maybe there's a coding clue there too. A modular, language centric > approach, based on loading a module designed specifically for a > particular language and phrasal interpretation. (Module 1 spoken=French, > Module 2 sung=French, Module 3 spoken=Finnish, etc....) I think you're right. There's nothing universal about making noise and actually meaning something ;) -- Olivier _______________________________________________ Linux-audio-dev mailing list [email protected] http://lists.linuxaudio.org/mailman/listinfo/linux-audio-dev
