Audio Format Listening Tests Concluded
Pointing to the conclusions of this listening study, nullity writes: "The results are interesting, and show a high variation in the performance of the various codecs on different musical styles. Ogg seems to work well on dance music, WMA8 on chamber music, etc."
Ogg seems to work well on dance music, WMA8 on chamber music, etc.
Like requiem...
These tests are all at 64 kbps and most people use much higher bitrates for real music. I'd like to see comparisons at 128k bits minimum, and preferably 160k or 192k, which is what most quality mp3's are at, for direct comparison.
Well....not quite. There's a different frequency distribution between electronic, pop acoustic and classical music.
Specifically, electronic music, which most dance stuff is, has a very flat frequency distribution. See this for yourself - load your favourite media player, siwtch on the graphic equaliser graph and watch how basically nothing happens except in the mid-range.
Now try again with an orchestral piece. There will be much more variation, though in most it will tend towards the top end.
Now try again with rock. Tends towards the bottom and top, with middle frequencies missing.
Keep going with any format you feel like mentioning...you'll get the same.
Actually, this is a striking example of how recording techniques can ruin sound as well. Take a look at the Apollo 440 album - Gettin' High on Your Own Supply. A good mixture of guitars and electronics, right? Well, look at the frequency graph again. See how virtually every guitar frequency variation has been cut out: this music was recorded digitally, mostly using samples by the looks of it. The normal variations you'd associate with having guitars play live are all filtered out, and the graph goes back to the flat digital sound again.
Cheers,
Ian
I guess grip will have to use Genre info from CDDB to decide what to encode the the files as now. I wonder if you coudl set up something to optimize individual tracks. Like scan a wav and pick the best codec for the frequencies used in the audio.
Why not fork?
I noticed a number of confused posters here... The tested codecs were AAC/MP3PRO/OGG/WMA, not MP3. Had mp3 been tested, it would have lost every round as all of the tested codecs are vastly superior to plain MP3 at this bitrate.
It also should be noted that the only two samples that WMA beat OGG at (indeed the only ones that it didn't totally flop on) were two very simple samples that are demonstrations of two differnt weaknesses in the current revision of vorbis. Orignally the results page had some very interesting commentary from Monty on this, but it looks like it got pulled.
With the exception of those two samples, OGG clearly won. Even including those, it was only beat out by MP3PRO by a small margin. When you factor in that MP3PRO isn't available at anything but such low bitrates and that it's substantially more propritary then MP3, it seems like pretty much a no-contest.
Considering that different codecs do better at different music w/ different frequency spreads, who else thinks that the next generation of audio codecs will be multi-modal; in effect, be several codecs in one. Then have each codec specialize on certain types of music. Perhaps even have them run in an advanced mode where they do a frequency analysis of whole songs, rather than just using genre, to automatically select the best codec for the job. Perhaps even use different codecs for different sections of the song. That would definitely help songs like Bohemian Rhapsody and orchestas with movements, etc.
Would this be too time consuming to implement or what?
BlackGriffen
Looking at the data, it looks the two samples where Ogg performed poorly ended up being encoded at a significantly smaller average bitrate than any of the other encoders.
The table at the end lists LiszBMinor with an average ogg bitrate of 45 and BachS1007 with an average bitrate of 47. Since the other codecs encoded those samples at a bitrate 64 or higher, this may explain the results.
The results may point to a flaw in Ogg's VBR login rather than in the lossy compression scheme.
ABC/HR.. as in ABC/Hidden Reference... as in, there is a copy of the original track included as a hidden reference on every single trial.
The users are given 2 sliders per sample laid out on a panel. The samples are loaded in random order. On the sliders for each sample, one slider is for the original sample, and one is for the encoded. These are also randomized per sample. The user does not know which is which. If they happen to rate the original sample less than 5.0 (highest rating, meaning it should be transparent), then their results are disregarded entirely for that sample.
mp3PRO has one very specific advantage over all the other formats on the market-share front. It has the characters m, p, and 3 in it. Everyone has heard of mp3, and people who don't care about the open source cause (read: the vast majority of people) will buy an mp3PRO device way before considering an Ogg Vorbis device.
As I've said before, name is really important when marketing comes into play. And Ogg Vorbis' name simply blows.
This is an interesting and relatively well done test (although it appears that the listeners knew which format they were listening to, so it wasn't truly double-blind, and a anti-MS and pro-Ogg bias can't be ruled out).
However, some discussions seem to be focusing on this saying AAC is bad or WMA is bad, when really it refers to the particular implementations in codecs of those formats.
For example, the Apple MPEG-4 AAC-LC encoder was used for AAC. This is a Low Complexity version of the format. Also, the Apple encoder has a strange limitation where it automatically converts 44.1 stereo to 32 stereo at that data rate. This isn't required by the AAC format. Other AAC encoders yield MUCH better results, and beat MP3 Pro in double-blind testing. I haven't seen any double-blind comparisons between AAC and Ogg.
Also, the WMA8 encoder is due to be replaced by the backwards-compatible WMA9 in early September. Of course, there may well be improved versions of the other encoders by then as well.
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