Harold Tessmann <[email protected]> writes: > On Thu, Jun 29, 2017 at 12:37 PM, Moritz Barsnick <[email protected]> wrote: > >> And unlike video, it seems there are few, if any, methods to measure >> the *perceived* quality of audio. Check here for some ramblings: >> https://stackoverflow.com/questions/2945531/determining- >> the-best-audio-quality >> >> But I challange you to find an algorithm which can compare two audio >> tracks. (And you need someone with a good ear to confirm its findings. >> Or reference material and encodings such as SQAM.) But if you do find >> it, and it's "free" to use, please implement an ffmpeg filter with it. >> :-) >> > > To continue along those lines, I don’t think this is even a problem that > one can precisely define. I will start by acknowledging that there exists a > boundary where you can define audio quality objectively. Clipping, for > instance, destroys sound data, and is objectively bad < > https://en.wikipedia.org/wiki/Loudness_war> (but even then, some musicians > or sound designers may want that, for industrial or other effects). But > there is a difference between objective quality and what people want. > Consider the ability of a display to reproduce an image accurately. You can > make an objective comparison, but if you go by the display section of an > electronics store, you’d find out that people tend to like oversaturated, > objectively worse, color < > http://www.flatpanelshd.com/focus.php?subaction=showfull&id=1328263571>. > > And then you have to consider the environment of your audience, which you > can’t necessarily control. Audio played in a car has to contend with road > noise, while pictures on a TV will look significantly different in a bright > store vs. a customer’s home < > https://www.cnet.com/news/why-do-plasma-tvs-look-washed-out-in-the-store/>. > > And then there’s the question of how much quality your audience can detect. > The MythBusters did a test with different grades of vodka and determined > that yes, an expert can taste the difference between high end and cheap > liquor, but your average person doesn’t have so discriminating a palate < > http://kwc.org/mythbusters/2006/04/episode_50_bullets_fired_up_vo.html>. So > even if you did come up with a good metric, perhaps you don’t _want_ to > check it against an audiophile, or a recording engineer, or somebody who > has particularly good hearing.
But suppose you have a song, or any piece of music... a certain particular precise recording, just that one... and that you find in internet two mp3 different files of that song, from two different web sites, both same size in megabytes. Suppose that the test with Audacity, which we have earlier much spoken of, reveals a difference between them: this means that a portion of the original WAV file during the MP3 conversion has been discarded in more quantity in, say, file1.mp3 than in file2.mp3 (in fact it can be heared). Or also suppose that both files are in wav format but still Audacity reveals a difference between them (because one of them could be - as far as we know - the result of a previous unknown conversion). Then I expect if would be technically possible that we could give an algebraic plus or minus sign to that discarded portion and tell - objectively and not by a simple personal listening feeling - which of the two is the one that contains more information and which less - that's what I would reasonably expect. Rodolfo _______________________________________________ ffmpeg-user mailing list [email protected] http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email [email protected] with subject "unsubscribe".
