Curvature
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This is a really good point. IMT can be adjusted to have slightly different explanatory principles below the transition region. That's one objection down.I'm under the impression that most of our sound image localization happens well north of the transition region, while in the transition region and below we're mostly getting envelopment cues rather that image localization cues. So it seems to me that an Image Model Theory set-up would work well in the frequency region that matters most for sound image localization (soundstage size).
On my other two objections, my final comments about the lack of a perceptual model concern something I've been thinking about for a long time:
- Recordings can sound really good, even though they are compromised in a spatial sense.
- Speakers can sound really good, even when suboptimally positioned or designed.
Somewhat separately, I'd like to refer to architectural acoustics, where this modelling method used.
There are applications (for reverberation modelling) where a 3D model is used, and what's seen is a multiplication of images that accounts for later and later reflections. The initial model ends up exploding in complexity when you start drawing mirror images of virtual sources as well.
I think IMT acknowledges this complexity in the articles implicitly, but certainly doesn't dive into it. There is probably something here worth thinking about. Not sure exactly what at the moment.