On Mon, 29 Jul 2013 14:15:28 +0000
Fons Adriaensen <fons(a)linuxaudio.org> wrote:
On Mon, Jul 29, 2013 at 03:27:33PM +0200, Philipp
Überbacher wrote:
while the paper
(
http://www.dolby.com/uploadedFiles/Assets/US/Doc/Professional/
AES128-Loudness-Normalization-Portable-Media-Players.pdf)
is interesting, it's not what I was looking for. What needs testing
is whether the loudness adjustment of RG2 compared to RG1 is
perceived as 'closer to equal loudness'. When some sort of actual
listening test shows that RG2 performs significantly better, good,
otherwise I don't see the point.
ITU-1770 on which both R-128 and RG2 are based has been tested
extensively over a long time and shown to work very well. AFAIK there
was no comparable amount of testing done on RG1.
Really? I can't find any proper references, at least not in the latest
version of the ITU-1770 paper
(
http://www.itu.int/rec/R-REC-BS.1770-3-201208-I/en). They only roughly
describe some tests, first as mostly female speech (p. 13-14), later
they claim it was a broad base of material (p. 18). I can't see any
obvious reference to details of those tests, the second referenced
paper (Evaluation of Objective Loudness Meters) seems to describe it,
but it seems this paper is not publicly accessible.
However, my point here is that it has to show its performance and
especially superiority over the established RG1 in practice, everything
else is of little significance.
I do find
their recommended conversion equation questionable, they
came up with it based on their sample set plus thumb measure.
There's no telling what the results will be, but I don't expect
them to be any good.
Why not ? The tests on the sample set (which is not small) show quite
a good agreement between the two systems.
Ciao,
According to the R-128 paper the standard deviation of their samples
from the line they plotted there is 1dB, no idea what it is from the
slope (-1) they guessed there. Still, given to songs it could well be
2dB or more off, but my main point is that this is still with _their_
data set. I guess that with another data set the differences could be
larger and significant to the point where the error is large enough for
the conversion to be a bad thing™.
I wonder whether a better, albeit slightly more complicated way of
conversion can be found, this one was apparently chosen primarily for
its simplicity.
Don't get me wrong, I like ReplayGain, and I'd like to see further
adoption, I'm just not sure the R-128 based one will actually be better
and cause further adoption. I fear it could cause confusion and further
problems instead. Sometimes I also like to argue and see the bad parts
in everything.
On the upside, the temperature just dropped below 30° for a
change.
Have a nice day,
Philipp