These are the summary results of the 48kbps AAC public listening test.
User comments are available here.
Each plot is drawn with the seven codecs on the x axis and the
ratings
given (1.0 through 5.0) on the y axis. N is the number of
listeners used to compute the means (average ratings) and 95%
confidence intervals. The mean rating given to each codec is
indicted by the middle point of each vertical line segment, and
the value is printed next to it. Each vertical line segment
represents the 95% confidence interval (using ANOVA analysis) for each
codec.
This analysis is identical to the one used in Roberto Amorim's
listening tests
One codec can be said to rated better than another codec with 95% confidence if the bottom of its line segment is at or above the top of the competing codec's line segment.
Important note: These plots represent group preferences (for the particular group of people who participated in the test). Individual preferences will vary somewhat. The best codec for a person is dependent on his own preferences and the type of music she prefers.
Plot | Comment |
---|---|
sample description: "experimental" modern music results: Bad result for CTv1 which is tied to the low anchor |
|
sample description: jazz results: All contenders (except anchors) are tied. |
|
sample description: high pitched sounds results: On this sample the low anchor is clearly remove parts of the sound, due to its lowpass. Although it is statistaly tied to the other contenders, Nero v1 has a notation a little above others, probably because of its higher bitrate on this sample |
|
sample description: latin music, transcoded from MPEG Layer II results: All codecs (except anchors) are tied |
|
sample description: acoustic guitar with applaudes results: All codecs (except anchors) are tied |
|
sample description: male voice (singing) with music results: All codecs (except anchors) are tied |
|
sample description: female and male spoken voice results: All codecs (except anchors) are tied |
|
sample description: classical with vocals results: Good result of the HE-AACv1 contenders, which are tied to the high anchor, although they are only using 50% of its bitrate. HE-AACv2 results are quite lower than v1 results. |
|
sample description: pop results: All codecs (except anchors) are tied |
|
sample description: male voice with background music results: All codecs (except anchors) are tied |
|
sample description: 70's electronic results: Bad results of the high anchor (smeared transients). Lame, Nero v1 and v2, CT v2 are tied by a small margin. |
|
sample description: piano results: On this sample Nero v1 is statistically better than Nero v2 and CT v2. It seems that parametric stereo is not at its best on this sample. |
|
sample description: wind instrument results: Contenders are tied, but only 3gpp is tied to the low anchor. |
|
sample description: hard rock results: Nero and CT encoders are sharing the first place, 3gpp is second. |
|
sample description: violin results: All codecs (except anchors) are tied, but it seems that HE-AACv1 encoders are scoring better than v2 encoders. |
|
sample description: a capella female voice results: Excellent results of the contenders. Except 3gpp, they are tied to the high anchor, despite using ony 50% of its bitrate. 3gpp, despite a respectable score, is beaten by Nero v2. |
|
sample description: pop music with artificial stereo separation and yelling singer results: HE-AAC v1 contenders are clearly better than HE-AAC v2 ones. |
|
sample description: rock results: All codecs (except anchors) are tied |
This is the bitrate distribution table in kbps for the audio data:
Sample | 3GPP HE-AACv1 | CT HE-AACv1 | CT HE-AACv2 | Nero HE-AACv1 | Nero HE-AACv2 | L.A.M.E. 130 | iTunes LC-AAC |
1 | 48 | 47 | 46 | 49 | 48 | 161 | 48 |
2 | 48 | 46 | 46 | 47 | 49 | 143 | 48 |
3 | 48 | 47 | 46 | 54 | 49 | 124 | 48 |
4 | 48 | 47 | 46 | 48 | 49 | 133 | 48 |
5 | 48 | 46 | 46 | 47 | 48 | 130 | 48 |
6 | 48 | 46 | 46 | 47 | 49 | 148 | 48 |
7 | 48 | 46 | 46 | 48 | 48 | 106 | 48 |
8 | 48 | 46 | 46 | 48 | 48 | 100 | 48 |
9 | 48 | 46 | 46 | 47 | 48 | 130 | 48 |
10 | 48 | 46 | 46 | 46 | 47 | 102 | 48 |
11 | 48 | 46 | 46 | 49 | 49 | 138 | 48 |
12 | 48 | 46 | 46 | 49 | 48 | 95 | 48 |
13 | 48 | 46 | 46 | 45 | 48 | 138 | 48 |
14 | 48 | 46 | 46 | 48 | 48 | 146 | 48 |
15 | 48 | 46 | 46 | 48 | 48 | 134 | 48 |
16 | 48 | 47 | 46 | 49 | 49 | 95 | 48 |
17 | 48 | 46 | 46 | 47 | 48 | 155 | 48 |
18 | 48 | 46 | 46 | 47 | 48 | 147 | 48 |
average | 48 | 46.22 | 46 | 47.94 | 48.28 | 129.17 | 48 |
The results for each sample were grouped together,
withoutmodifications.
Then I performed an ANOVA
analysis.
The results are graphed below:
Here is a zoomed version, without the anchors:
© Gabriel Bouvigne for MP3'Tech - www.mp3-tech.org - last edited March 20, 2006