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Benjamin Zimmer
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Audio Examples: MP3 vs. AAC/M4A vs. Opus

In this previous thread we discussed the difference between the LAME and Fraunhofer CBR MP3 encoder at low bitrates:
https://plus.google.com/u/0/117038174657625698320/posts/ca1TxQUhaDj
So far there was no audio example where one could hear a relevant difference between both.

At the end of the discussion, some people were interested in the AAC codec, to get smaller podcast files with better quality.
Here I post some examples - encoded in AAC, in MP3 and in Opus - so that it is possible to compare the audio quality at various (low) bitrates.
I will add some personal comments to those files later, so that everyone can listen to them without reading my comments first.

You can listen to all files with a recent firefox, as it ships all necessary decoders.
(AFAIK Safari is still (the only?) browser which does not ship an opus decoder)


Example1: Mono file, speech only

This mono file contains female and male speakers.

Here is the uncompressed WAV file:
https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono.wav

64kbps (28MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-64k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-64k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-64k.opus

48kbps (21MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-48k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-48k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-48k.opus

32kbps (14MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-32k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-32k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-32k.opus

24kbps (11MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-24k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-24k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-24k.opus

16kbps (7MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-16k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-16k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-16k.opus

12kbps (5MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-12k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-12k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-12k.opus

6kbps (3MB/h):
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinMono-12k.opus


Example2: Stereo file, speech with music intro

This stereo file starts with a music intro, then contains female and male speakers.

Uncompressed WAV file:
https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo.wav

96kbps (42MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-96k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-96k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-96k.opus

64kbps (28MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-64k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-64k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-64k.opus

48kbps (21MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-48k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-48k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-48k.opus

32kbps (14MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-32k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-32k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-32k.opus

24kbps (11MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-24k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-24k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-24k.opus

16kbps (7MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-16k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-16k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-16k.opus

12kbps (5MB/h):
- mp3: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-12k.mp3
- aac: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-12k.m4a
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-12k.opus

6kbps (3MB/h):
- opus: https://auphonic.com/media/audio-examples/encoders/BitsOfBerlinStereo-12k.opus


It should be possible to reduce the file size and improve the quality when using AAC encoded files for a podcast.

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We're proud to introduce the new Podigee podcast statistics system. http://buff.ly/1Gy5cfW
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Ach, da werden Erinnerungen wach: Mir hat SELFHTML damals beigebracht, was eigentlich <framesets> sind. ;) (dbe)

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Star-Wars-Raumgleiter auf dem alten Flughafengelände in Berlin? Nicht ganz. Es klang nur so, als das achte Rennen der Formel-E-Weltmeisterschaft am vergangenen Wochenende dort ausgetragen wurde. (sha)

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Now available in Germany.

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DeviceDetector is a precise and fast user agent parser and device detector written in Ruby, backed by the largest and most up-to-date user agent database.

DeviceDetector detects thousands of user agent strings, even from rare and obscure browsers and devices.

DeviceDetector has been ported to Ruby and open-sourced by the Podigee team, as part of our give-back to the community.

For more details, check out the DeviceDetector website!

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Gesundheit und gute Besserung! 

Die Grippewelle rollt im Moment wieder durch Deutschland - und das offenbar stärker als in den Jahren zuvor.

Basierend auf Suchanfragen und in Zusammenarbeit mit Gesundheitsbehörden findet ihr hier die aktuellen Google Grippe-Trends: http://goo.gl/HDBRpT

Hier könnt ihr euch außerdem eine Animation für Google Earth herunterladen, die die Grippe-Trends weltweit visualisiert: http://goo.gl/1F5WqK

#GoogleTrends  
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It just keeps getting better, and better, and better... Can't wipe the grin off my face! :)
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