I have idea of how hrtfs could be individually measured and could work on a
commercial scale with minimum inconvenience to the public (so they might
actually use it ). Not sure who to talk to about htis though.

On 24 January 2016 at 19:31, Stefan Schreiber <[email protected]> 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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