QUOTE(ching-3 @ Aug 21 2005, 04:15 PM)
The debate is simple. Is it okay to rely _soley_ on ABX testing? More technically: If two samples are ABXed and the results indicates that the listener cannot tell the difference, can this be _defined_ as transparent?
It's generally a better idea in a task of analysis to rely on as many reliable sources as you can. But ABX is among the best sources because it uses double-blind testing to generate empirical results. And yes, if the listener cannot differentiate between the compressed test sample and the uncompressed reference in enough test cycles to be meaningful, the compressed encoding is shown to be perceptually transparent
to that listener.
QUOTE(mdefranc @ Aug 21 2005, 06:52 PM)
"Listening however also involves the subconsiousness." - ching3
How are you conscious of this subconsiousness?
Because you can hear when you're not conscious. This isn't clear proof, only an indication in that direction.
QUOTE(krazy @ Aug 22 2005, 05:29 AM)
I think 'transparent', when referring to lossy codecs, is a great simplification and a confusing term to use. IMHO a more correct term (variations of which is repeated throughout this thread/ha.org) would be 'effectively transparent for this person and sample'.
What I generally say is "perceptually transparent for the listener", and just saying "transparent" in this context is generally understood to mean the same thing.
QUOTE(krazy @ Aug 22 2005, 05:29 AM)
Popper said:
QUOTE
No matter how many instances of white swans we may have observed, this does not justify the conclusion that all swans are white.
Thus in audio encoding the only thing which can be
defined as transparent is lossless.
That would only be the case if the context were either infinite or so vast as to not be reasonably measured. Any scientific analysis must have a defined scope to be meaningful. One person with a measureable hearing ability using ABX to test a few seconds of music for perceptual transparency can certainly identify what is or is not transparent to their ears within the scope of (1) the sample being tested, (2) the encoding format and setting used, (3) the individual's health and hearing ability, (4) the rigorousness of the test (i.e., the listener follows the rules of the test and applies all of their abilities) and (5) the number of test cycles executed.