Normalization and replay gain
If you want to have a constant average volume on an audio stream, you can use the
normalize operator. However, this operator cannot guess the volume of the whole stream, and can be ``surprised’’ by rapide changes of the volume. This can lead to a volume that is too low, too high, oscillates. In some cases, dynamic normalization also creates saturation.
To tweak the normalization, several parameters are available. These are listed and explained in the reference and also visible by executing
liquidsoap -h normalize. However, if the stream you want to normalize consist of audio files, using the replay gain technology might be a better choice.
Replay gain is a proposed standard that is (more or less) respected by many open-source tools. It provides a way to obtain an overall uniform perceived loudness over a track or a set of tracks. The computation of the loudness is based on how the human ear actually perceives each range of frequency. Having computed the average perceived loudness on a track or an album, it is easy to renormalize the tracks when playing, ensuring a comfortable, consistent listening experience.
Because it is track-based, replay gain does not suffer from the typical problems of stream-based, dynamic approaches. Namely, these distort the initial audio, since they constantly adapt the amplification factor. Sometimes it oscillates too quickly in a weird audible way. Sometimes it does not adapt quickly enough, leading to under or over-amplified sections.
On the other hand, replay gain has its drawbacks. First, it requires an initial computation that is a bit costly. This computation can be done once for all for local files – subsequent calls can then retrieve the result from the metadata. Although not impossible in theory, there is no recipe for liquidsoap to offer the same feature on remote files.
How to use replay gain in Liquidsoap
In theory, there are two independant parts: computing the replay gain and tagging the files with that information, and retrieving the gain from the metadata when playing the file, in order to renormalize it. In practice, everybody will want to use the same script that triggers the computation if needed even if they do not need that part, because the replay gain metadata is stored in some exotic format that liquidsoap does not support directly yet. Instead, it relies on the replay gain computation tools to extract them.
Renormalizing according to some metadata field
amplify() operator can behave according to metadata. Its
override parameter indicates a metadata field that, when present and well-formed, overrides the amplification factor. Well formed fields are floats (e.g.
0.7) for linear amplification factors and floats postfixed with
-2 dB) for logarithmic ones.
For replay gain implementation, the
amplify operator would typically be added immediately on top of the basic tracks source, before transitions or other audio processing operators. We follow these lines in the next example, where the
replay_gain field is used to carry the information:
list = playlist("~/playlist") default = single("~/default.ogg") s = fallback([list,default]) s = amplify(1.,override="replay_gain",s) # Here: other effects, and finally the output...
You may also take care of not losing the information brought by the metadata. This may be the case for instance if you use
smart_crossfade before applying normalization. Hence, normalization should be done as soon as possible in the script, if possible just after the initial source.
Computing and retrieving the data
In practice, the replay gain information can be found in various fields depending on the audio format and the replay gain computation tool.
Liquidsoap provides a script for extracting the replay gain value from
flac files. It requires the tools
flac) files processing, and will affect your files: after the first computation of the replay gain, that information will be stored in the metadata.
Optionally, this script can also use the
file binary in order to detect the content of an audio file not only using its extension, which is necessary with, for instance, protocols that download files across the network, such as
Then, there are at least two ways to use it in your liquidsoap script: using the replay gain metadata resolver, or the
The metadata solution is uniform: without changing anything, all your files will have a new
replay_gain metadata when the computation suceeded. However, this can be problematic, for example, for jingles, or if you have large files that would take a very long time to be analyzed by replaygain tools. The protocol solution gives you more control on when the replaygain analysis is performed, but requires that you change some
replay_gain:uri. We briefly discuss below how to do it conveniently in some typical cases.
Note that our replaygain support for remote files can be problematic. As such, it would analyze the file after each download, which may be uselessly costly. One should instead make sure that the file has been analyzed on the remote machine, so that the local analysis only retrieves the precomputed value. In any case, remote files can only be treated through the addition of a metadata resolver, and cannot work with the
replay_gain protocol technique (
replaygain:ftp://host/file.ogg will call the script using the
ftp://host/file.ogg as the URI parameter, and it will fail).
The replay gain metadata resolver is not enabled by default. You can do it by adding the following code in your script:
replay_gain protocol is enabled by default. In this case, everytime you need replaygain information about a file, access it through your new protocol: for example, replace
replay_gain:/path/to/file.mp3. The resolving of the protocol will trigger a call to our script, which will return an annotated request, finally resulting in your file with the extra
replay_gain: is easy if you are using a script behind some
request.dynamic operator. If you are using the
playlist operator, you can use its