| Commit message (Collapse) | Author | Age | Files | Lines |
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Note that this is the multiple above the device sample rate, rather than the
source property limit. It could theoretically be increased to 511 by testing
against UINT_MAX instead of INT_MAX, since the increment and positions are
using unsigned integers. I'm just being paranoid about overflows.
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It's possible for another invocation to increase the array size in between the
ReadUnlock and WriteLock calls, causing the 'i' index to refer to a taken
entry.
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Note that it still uses FuMa scalings internally. Coefficients loaded from
config files specify if they're FuMa (in both ordering and scaling) or N3D,
and will get reordered or rescaled as needed.
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It seems a simple scaling on the coefficients will allow first-order content to
work with second- and third-order coefficients, although obviously not with any
improved locality. That may be something to look into for the future, but this
is good enough for now.
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ALC_FALSE now indicates explicitly no HRTF mixing, while ALC_DONT_CARE_SOFT
is autodetect.
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This basically acts as if the app created a new context with the specified
attributes (causing the device to reset with new parameters), then immediately
delete it. Existing contexts remain undisturbed, except for a temporary pause
while the device output is reconfigured.
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DISABLED - Generic disabled status
ENABLED - Generic enabled status
DENIED - Not allowed (user has configured HRTF to be off)
REQUIRED - Forced (user has forced HRTF to be used)
HEADPHONES_DETECTED - Enabled because headphones were detected
UNSUPPORTED_FORMAT - Device format is not compatible with available filters
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This can report the status of HRTF, specifying if it's enabled or not and why
(currently only reports unsupported formats, but this may be extended).
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This method is intended to help development by easily testing the quality of
the B-Format encode and B-Format-to-HRTF decode. When used with HRTF, all
sources are renderer using the virtual B-Format output, rather than just
B-Format sources.
Despite the CPU cost savings (only four channels need to be filtered with HRTF,
while sources all render normally), the spatial acuity offered by the B-Format
output is pretty poor since it's only first-order ambisonics, so "full" HRTF
rendering is definitely preferred.
It's /possible/ for some systems to be edge cases that prefer the CPU cost
savings provided by basic over the sharper localization provided by full, and
you do still get 3D positional cues, but this is unlikely to be an actual use-
case in practice.
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Largely copied from JACK, it's extended to work with user-specified element
sizes instead of bytes. This is necessary to be able to work with 6- and 7-
channel output modes.
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The sound localization with virtual channel mixing was just too poor, so while
it's more costly to do per-source HRTF mixing, it's unavoidable if you want
good localization.
This is only partially reverted because having the virtual channel is still
beneficial, particularly with B-Format rendering and effect mixing which
otherwise skip HRTF processing. As before, the number of virtual channels can
potentially be customized, specifying more or less channels depending on the
system's needs.
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This way takes into account a new stereo-mode config option, which when set to
"headphones" will default to using HRTF. Eventually the device will also be
able to specify if headphones are being used.
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This new method mixes sources normally into a 14-channel buffer with the
channels placed all around the listener. HRTF is then applied to the channels
given their positions and written to a 2-channel buffer, which gets written out
to the device.
This method has the benefit that HRTF processing becomes more scalable. The
costly HRTF filters are applied to the 14-channel buffer after the mix is done,
turning it into a post-process with a fixed overhead. Mixing sources is done
with normal non-HRTF methods, so increasing the number of playing sources only
incurs normal mixing costs.
Another benefit is that it improves B-Format playback since the soundfield gets
mixed into speakers covering all three dimensions, which then get filtered
based on their locations.
The main downside to this is that the spatial resolution of the HRTF dataset
does not play a big role anymore. However, the hope is that with ambisonics-
based panning, the perceptual position of panned sounds will still be good. It
is also an option to increase the number of virtual channels for systems that
can handle it, or maybe even decrease it for weaker systems.
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