LOL... okay, so let me explain. I've recently been working with, and digging into, the FFT EQ Filter in Samplitude. One of the very cool things about it, is the ability for FFT to "learn" EQ curves... so, if you are working with a vocalist on one session, and they want to come in on another day and "patch" another vocal part to that same track - like a phrase or something - FFT has the ability to "learn" the EQ of the first performance and allow you to apply the results of that analysis to the new part, making it much less noticeable. This got me to thinking... What would happen if I fed the FFT a solo voice track of another singer? It would analyze that singer's voice, or, maybe even analyze the tonal characteristics of a certain mic or pre... So, say that I really liked the tone/EQ or textures of a solo Peter Gabriel vocal... what would happen if I then applied that analysis to my own voice? Well, of course, I won't be instantly turned into Peter - LOL - but, could his tonal characteristics - EQ, Timbre, Mic character, etc., be applied to another voice with interesting results? Maybe even favorable results? Here's the experiment, if you want to play along... Send me a 5 to 10 second .wav file of you either singing, or just even speaking... using a nice mic, and a nice pre. Use your own natural voice. Don't try to mimic anyone else. I'll then feed the FFT your vocal/tonal characteristics, and then, using the FFT "save as FX insert" function, apply the settings of the FFT analysis to my own singing voice, and I'll place the audio results here on RO. And, if you don't want to be a part of the experiment, that's totally cool. I'm just presenting this as something new and interesting to discuss and critique. It may all turn out to be foolish. But who knows? Send your MONO 44.1/24 five to ten second wave files to: DonnyThompson@hotmail.com Please give me your RO screen name for reference. Notate the mic, pre, DAW platform you used. Please don't add any processing - no EQ, no GR, no reverb... Nothing. Just raw and flat! Thanks, d.