Marc Lavallée wrote:
The LISTEN set from IRCAM, the KEMAR set from MIT and the spherical set
by R. Duda are included in the Ambisonic Toolkit. I use them on
http://ambisonic.xyz/ . The spherical set is probably a good enough
compromise for VR applications, because perfection is not required for a
good experience. What seems to be missing is a practical method to
provide personalized HRTFs to users.
--
Marc
Marc, just some idea:
If the ATK includes different HRTF sets, doesn't it already provide an
open interface/standard for exchangeable HRTF data?
The "competition" would be AES-69, a non-open standard provided by AES
and BiLi project. (They needed a looong time to agree on AES-69.)
As anything simpler but functional might be sufficient and even
preferable in most cases:
- Does ATK define an HRTF interface which is sufficiently flexible to be
the base for a real < standard > ?
- Does anyone want to write down such a standard (maybe in RFC form),
which would be usable for every type of binaural decoder? (say also 5.1,
9.1, 7+4H and 22.2 to binaural decoders)
Best,
Stefan
On Sun, 24 Jan 2016 19:31:33 +0000,
Stefan Schreiber <st...@mail.telepac.pt> wrote :
http://www.blueripplesound.com/hrtf-amber
The IRCAM AKG "Listen" HRTF data contains measured HRTFs from about
50 different people - this must have taken a lot of effort and
we're very grateful to the good folk of IRCAM for doing the work
and making the results available to the world! What we've done is
analyse this data and come up with an 'average' HRTF that is a
sensible compromise, using some new work. As it's an average, it
wouldn't be perfect for any of the people actually measured, but
hopefully not awful for any of them either! It's certainly much
better than conventional "panning" techniques.
(See also:
http://www.blueripplesound.com/personalized-hrtfs
)
We provide "generic" HRTFs models (for instance, our Amber HRTF
<http://www.blueripplesound.com/hrtf-amber>) which work well for
many people, but even better results can be achieved using
personalized HRTF measurements.
Could any people, companies or institutions on this list provide
access to such a practical and < usable > generic HRTF model?
If not: I believe that some essential theses and papers should have
been done in the academic world, but don't exist anyway.
Richard Furse basically states that a "good" generic HRTF is derived
from many HRTF measurements (data sets) via some form of averaging,
as a "sensible compromise". I doubt that this is a trivial process,
though...
Best regards,
Stefan
P.S.: VR companies will currently have to look into these issues,
and to find solutions which are practical at least < for most >
people. If some proposed HRTF data set doesn't fit to an individual
listener it should be pretty hard to distinguish between front/back
sources, for example. (Even with head-tracking.)
Don't tell me that I didn't present a paper to prove my point...
Instead, give me the link to a paper which delivers some kind of
optimized generic HRTF data set. If such a paper doesn't exist (yet),
I don't see any reason why something like "Amber HRTF" can't be
re-engineered.
(Amber HRTF itself is derived from IRCAM AKG "Listen" HRTF data, a
public available list. And even IRCAM should be interested to provide
a good universal HRTF based on its own and public HRTF research!)
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