Hello, > OK, so in the future we need a different algorithm for desktop speakers. > Something like "find out stereo sound that, when convolved with the > HRIR and summed for each ear, produces the same result as the original > 5.1 sound convolved with the appropriate HRIR", but at high-enough > frequencies only.
That is possible with crosstalk cancellation. It requires knowledge of the transfer functions from each speaker to each ear, though. I have no idea how well it would work if we just estimate the transfer functions but there seem to be commercial products that do so. > As for the complexity - yes, it can be reduced substantially, because > you use the simplest possible implementation of convolution with a > rather long filter. Please try to use FFT-based convolution and > benchmark. > > Or, even better, try to approximate one of the available HRIRs with a > combination of an IIR filter of some low (4-6) order and a > fixed-per-channel delay, and hard-code that. As there is no scientific > way of designing IIR filters with arbitrary impulse response yet, the > simplest possible way of doing such approximation is to autogenerate > random IIR filters of a given order, compare their response with the > desired one, and leave the whole thing running for a day or so until it > finds something suitable. Sure, my code is O(n^2) while FFT is O(n log n) but it is somewhat simpler and has less overhead. I will try your proposed alternatives when I find the time to do so (exams are coming up). Regards, Ole
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