KNN is another panning type that dœs not depend on a sweet spot to be perceived correctly. It is a version of a ‘Nearest-neighbour’ interpolation algorithm. These family of algorithms are also used in the fields of complex systems, 3D graphics and network science to name a few. In Spat Revolution you can sonically explore a network of loudspeakers using this panning type and some virtual sound sources.
How does it work?
An interesting difference between DBAP and KNN is that the user gets manual control over one of the main cœfficients in the underlying algorithm. The parameter is called Nearest Neighbour Spreading. It sets a maximum limit to the number of speakers that the algorithm can use as neighbours - the parameter becomes available as a continuously variable percentage for each virtual source in a Spat room.
What makes this particularly interesting is that different sources can activate less or more of the sound system dynamically and in a very smooth way. For example, one virtual sound source might seem to pop in and out of individual speakers because its Nearest Neighbours Spread parameter is set a low percentage. For example, on a 10 speaker arragnement :1-10% will use 1 speaker, 11% to 20% 2 and so on. Another sound source could seem diffuse over the entire sound system, because its spread variable is set to 100%.
★ Try automating the Nearest Neighbours Spread in a relationship with another source property of the same sound source such as room presence.