Yes, you are exactly right. It is called the "impulse response", a kind of sonic fingerprint that stores all of the information about how the device alters the sound passed through it. You can then apply the impulse to another signal to colour it in the same way as if it had passed through the actual device. Doing this is called "convolution".
It has lots more applications than just cabinet modelling. You can extract the impulse response of an acoustic instrument by micing it up and hitting it. Then you can have endless fun passing signals through acoustic guitars, cymbals and so on, using Sound Forge's convolution plugin. I've used this trick to make some really freaky vocal reverbs for songs.
Convolution reverb is heavily used now. When recording classical music, you can capture the impulse response of the hall, which as far as I know is done with a gadget not unlike a blank firing pistol. (It can also be done by blasting white noise through speakers and performing a correlation.) Then you can do overdubs in a studio later and they sound as if they're in the same hall.
The main limitation is that it doesn't work for nonlinear systems. You can't capture the fingerprint of your favourite tube, for instance. I've seen attempts to get round this, but the math looks horrific, and I doubt it works very well.
It has lots more applications than just cabinet modelling. You can extract the impulse response of an acoustic instrument by micing it up and hitting it. Then you can have endless fun passing signals through acoustic guitars, cymbals and so on, using Sound Forge's convolution plugin. I've used this trick to make some really freaky vocal reverbs for songs.
Convolution reverb is heavily used now. When recording classical music, you can capture the impulse response of the hall, which as far as I know is done with a gadget not unlike a blank firing pistol. (It can also be done by blasting white noise through speakers and performing a correlation.) Then you can do overdubs in a studio later and they sound as if they're in the same hall.
The main limitation is that it doesn't work for nonlinear systems. You can't capture the fingerprint of your favourite tube, for instance. I've seen attempts to get round this, but the math looks horrific, and I doubt it works very well.
Comment