KNN vs DBAP vs...?

[rbaudoux]

Hello,

For a live improvisation setup with Max, I have imagined a 2D sepaker setup combining a circle of 8 with a stereo pair in the centre (to be expanded later as a square). The idea is to put the musicians in the centre and the audience around, in between the central pair and the circle.

The loudspeakers of the central pair are homemade models spreading sound over 360° angle on the xy plane.

The sources played will be mostly stereo.

The setup is irregular. Also, the size of the circle might change. Therefore I plan to use the DBAP algorithm. However could other ones be (more) relevant? What about KNN? Other ones?

[tcarpent]

Hi,

DBAP and KNN are, in essence, very similar : they use the source(s)/speaker(s) distances to compute gains. However KNN is more flexible (it has more options for you to control), so I would recommend to use it instead of DBAP.
I guess that should work for your setup.

Maybe you could complement with a VBAP2D for the ring of 8 speakers ? for some of the sounds ?

Best,
T.

[rbaudoux]

Indeed, I’ve just tried the setup in studio and the exponent parameter from KNN is quite helpful, especially as the loudspeakers are quite close to each other.