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TimeSide 0.5.4-1

open web audio processing framework

Latest Version: 0.8

TimeSide is a set of python components enabling low and high level audio analysis, imaging, transcoding and streaming. Its high-level API is designed to enable complex processing on big audio or video datasets of any format. Its simple plugin architecture can be adapted to various usecases.

TimeSide also includes a smart interactive HTML5 player which provides various streaming playback functions, formats selectors, fancy audio visualizations, segmentation and semantic labelling synchonized with audio events. It is embeddable in any web application.

Build status

  • Branch master :
  • Branch dev :


  • Do asynchronous and fast audio processing with Python,
  • Decode audio frames from any audio or video media format into numpy arrays,
  • Analyze audio content with some state-of-the-art audio feature extraction libraries,
  • Organize, serialize and save analysis metadata through various formats,
  • Draw various fancy waveforms, spectrograms and other cool visualizers,
  • Transcode audio data in various media formats and stream them through web apps,
  • Playback and interact on demand through a smart high-level HTML5 extensible player,
  • Index, tag and organize semantic metadata (see Telemeta which embed TimeSide).


The streaming architecture of TimeSide relies on 2 main parts: a processing engine including various plugin processors written in pure Python and a user interface providing some web based visualization and playback tools in pure HTML5.



  • VorbisEncoder [gst_vorbis_enc]
  • WavEncoder [gst_wav_enc]
  • Mp3Encoder [gst_mp3_enc]
  • FlacEncoder [gst_flac_enc]
  • AacEncoder [gst_aac_enc]
  • WebMEncoder [gst_webm_enc]
  • AudioSink [gst_audio_sink_enc]


  • FileDecoder [gst_dec]
  • ArrayDecoder [array_dec]
  • LiveDecoder [gst_live_dec]


  • Waveform [waveform_simple]
  • WaveformCentroid [waveform_centroid]
  • WaveformTransparent [waveform_transparent]
  • WaveformContourBlack [waveform_contour_black]
  • WaveformContourWhite [waveform_contour_white]
  • SpectrogramLog [spectrogram_log]
  • SpectrogramLinear [spectrogram_lin]
  • Displayaubio_pitch.pitch [grapher_aubio_pitch]
  • Displayodf [grapher_odf]
  • Displaywaveform_analyzer [grapher_waveform]
  • Displayirit_speech_4hz.segments [grapher_irit_speech_4hz_segments]


  • AubioTemporal [aubio_temporal]
  • AubioPitch [aubio_pitch]
  • AubioMfcc [aubio_mfcc]
  • AubioMelEnergy [aubio_melenergy]
  • AubioSpecdesc [aubio_specdesc]
  • Yaafe [yaafe]
  • Spectrogram [spectrogram_analyzer]
  • Waveform [waveform_analyzer]
  • VampSimpleHost [vamp_simple_host]
  • IRITSpeechEntropy [irit_speech_entropy]
  • IRITSpeech4Hz [irit_speech_4hz]
  • OnsetDetectionFunction [odf]
  • LimsiSad [limsi_sad]


  • Level [level]
  • MeanDCShift [mean_dc_shift]



  • Encoder : transcoded streams where broken. Now fixed with some smart thread controls.
  • Analyzer : update VAMP plugin example in sandbox
  • Analyzer : new experimental plugin : Limsi Speech Activity Detection Systems (limsi_sad)
  • Decoder : process any media in streaming mode giving its URL
  • Install : fix some setup requirements


  • Make Analyzer rendering more generic and easy to implement
  • Analyzer : implement rendering capability for event and segment + add some more analyzer graphers
  • Analyzer : refactoring the results rendering method. + Capability to use matplotlib in environnement with no display
  • Decoder : Add a Live decoder to get data from the soundcard
  • Decoder : add support for 96kHz sampling rate
  • Encoder: live AudioSink encoder, encoder that plays the audio stream through the soundcard
  • Grapher : add a generic Class to display Analyzers through their ‘render’ method. Add the new grapher file
  • Grapher : add a generic Class to display Analyzers through their ‘render’ method. For now, it only support FrameValueResult analyzer
  • Core : add a condition to catch signal only if a LiveDecoder source is used
  • Various bugfixes


  • Add a general launch script “timeside-launch” (see “Shell interface”)
  • Add some decorators to filter the inputs of processes (see analyzer.waveform for ex)
  • Add a “stack” option to the FileDecoder to accumulate audio data allowing multipass processes
  • Add beat confidence to aubio_temporal
  • Add AAC encoder (gstreamer voaacenc plugin needed)
  • Add UUIDs to the file URI and to all processors
  • Add a Debian repository with all dependencies for i386 and amd64 architectures
  • Fix buggy WebM encoder
  • Fix buggy MP3 muxing
  • Fix various minor bugs


  • Add parent processor list to Processor
  • Simplify and optimize the grapher system
  • Add Grapher abstract generic class
  • Add a UUID property to Processor
  • Add a SpectrogramLinear grapher
  • Add WaveformTransparent grapher
  • Fix some assignment issues regarding immutable type in for Analyzer Result
  • Simplify analyzer results implementation by introducing a Factory and multiple classes and subclasses to handle the 8 different kinds of results
  • Add doctests and improve the unit tests
  • Add a OnsetDetectionFunction analyzer
  • Update documentation
  • Various cleanups
  • Various bugfixes


  • Deep refactoring of the analyzer API to handle various new usecases, specifically audio feature extraction
  • Add serializable global result container (NEW dependency to h5py, json, yaml)
  • Add new audio feature extraction analyzers thanks to the Aubio library providing beat & BPM detection, pitch dectection and other cool stuff (NEW dependency on aubio)
  • Add new audio feature extraction analyzers thanks to the Yaafe library (NEW dependency on yaafe)
  • Add new IRIT speech detection analyzers (NEW dependency on scipy)
  • EXPERIMENTAL : add new audio feature extraction thanks to the VAMP plugin library (NEW dependency on some vamp toold)
  • Add new documentation :
  • New Debian repository for instant install
  • Various bugfixes
  • Comptatible with Python >=2.7
  • WARNING : no longer compatible with Telemeta 1.4.5


  • (re)fix Pillow support (#12)
  • fix some Python package rules
  • add a Debian package directory (thanks to piem, in git repo only)


  • Only setup bugfixes
  • Last compatible version with Python 2.6
  • Next version 0.5 will integrate serious new analyzer features (aubio, yaafe and more)


  • finally fix decoder leaks and de-synchronizations (thanks to piem)
  • this also fixes bad variable encoder file lengths
  • fix OGG and FLAC encoders (closes: #8)
  • fix multi-channels streaming (closes: #13)
  • add support for Pillow (closes: #12)
  • temporally desactivate AAC and WebM encoders (need to add some limits for them)
  • WARNING : we now need to add overwrite=True to encoder kwargs instances in order to overwrite the destination file, i.e. e=Mp3Encoder(path, overwrite=True)


  • many releases these days, but there are some patches which are really worth to be HOT released : we just need them in production..
  • finally fix FFT window border leaks in the streaming spectrum process for really better spectrograms and smoother spectral centroid waveforms
  • mv gstutils to timeside.gstutils
  • cleanup various processes
  • Ogg, Aac and Flac encoders not really working now (some frames missing) :( Will be fixed in next release.


  • move UI static files from ui/ to static/timeside/ (for better django compatibility)
  • upgrade js scripts from telemeta 1.4.4
  • upgrade SoundManager2 to v297a-20120916


  • finally fixed an old decoder bug to prevent memory leaks during hard process (thanks to piem)
  • add blocksize property to the processor API
  • add many unit tests (check tests/
  • re-add UI files (sorry, was missing in the last packages)
  • various bugfixes
  • encoders not all much tested on big files, please test!
  • piem is now preparing some aubio analyzers :P


  • mostly a transitional developer and mantainer version, no new cool features
  • but add “ts-waveforms” script for waveform batching
  • fix some tests
  • removed but download audio samples
  • fix setup
  • update README


  • move mainloop to its own thread to avoid memory hogging on large files
  • add condition values to prepare running gst mainloop in a thread
  • add experimental WebM encoder
  • duration analysis goes to decoder.duration property
  • bugfixes

Dive in

Define some processors:

>>> import timeside
>>> decoder  =  timeside.decoder.FileDecoder('sweep.wav')
>>> grapher  =  timeside.grapher.Waveform()
>>> analyzer =  timeside.analyzer.Level()
>>> encoder  =  timeside.encoder.VorbisEncoder('sweep.ogg')

then, the magic pipeline:

>>> (decoder | grapher | analyzer | encoder).run()

get the results:

>>> grapher.render(output='waveform.png')
>>> print 'Level:', analyzer.results


The TimeSide engine is intended to work on all Unix / Linux platforms. MacOS X and Windows versions will soon be explorated.

TimeSide needs some other python modules to run. The following methods explain how to install all dependencies on various Linux based systems.

On Debian, Ubuntu, etc:

$ echo "deb stable main" | sudo tee -a /etc/apt/sources.list
$ sudo apt-get update
$ sudo apt-get install python-timeside

On Fedora and Red-Hat:

$ sudo yum install gcc python python-devel gstreamer pygobject2 \
                  gstreamer-python gstreamer gstreamer-plugins-bad-free \
                  gstreamer-plugins-bad-free-extras \
                  gstreamer-plugins-base gstreamer-plugins-good

$ sudo pip install timeside

On other Linux platforms, you can also install all dependencies and then use pip:

$ sudo pip install timeside


python (>=2.7), python-setuptools, python-gst0.10, gstreamer0.10-plugins-good, gstreamer0.10-gnonlin, gstreamer0.10-plugins-ugly, python-aubio, python-yaafe, python-simplejson, python-yaml, python-h5py, python-scipy, python-matplotlib, python-matplotlib

Shell Interface

Of course, TimeSide can be used in any python environment. But, a shell script is also provided to enable preset based and recursive processing through your command line interface:

$ timeside-launch -h
Usage: scripts/timeside-launch [options] -c file.conf file1.wav [file2.wav ...]
 help: scripts/timeside-launch -h

 -h, --help            show this help message and exit
 -v, --verbose         be verbose
 -q, --quiet           be quiet
 -C <config_file>, --conf=<config_file>
                       configuration file
 -s <samplerate>, --samplerate=<samplerate>
                       samplerate at which to run the pipeline
 -c <channels>, --channels=<channels>
                       number of channels to run the pipeline with
 -b <blocksize>, --blocksize=<blocksize>
                       blocksize at which to run the pipeline
 -a <analyzers>, --analyzers=<analyzers>
                       analyzers in the pipeline
 -g <graphers>, --graphers=<graphers>
                       graphers in the pipeline
 -e <encoders>, --encoders=<encoders>
                       encoders in the pipeline
 -R <formats>, --results-formats=<formats>
                       list of results output formats for the analyzers
 -I <formats>, --images-formats=<formats>
                       list of graph output formats for the analyzers results
 -o <outputdir>, --ouput-directory=<outputdir>
                       output directory

Web Interface (the player)

TimeSide comes with a smart and pure HTML5 audio player.

  • embed it in any audio web application
  • stream, playback and download various audio formats on the fly
  • synchronize sound with text, bitmap and vectorial events
  • seek through various semantic, analytic and time synced data
  • fully skinnable with CSS style
Examples of the player embeded in the Telemeta open web audio CMS:
Development documentation:
TODO list:
  • embed a light http server to get commands through something like JSON RPC
  • zoom
  • layers

The player should work on any modern HTML5 enabled browser. Flash is needed for MP3 if the browser doesn’t support it.


For versions >=0.5 on Debian Stable 7.0 Wheezy:

$ echo "deb stable main" | sudo tee -a /etc/apt/sources.list
$ echo "deb-src stable main" | sudo tee -a /etc/apt/sources.list
$ sudo apt-get update
$ sudo apt-get install git
$ sudo apt-get build-dep python-timeside

$ git clone
$ cd TimeSide
$ git checkout dev
$ python tests/run_all_tests

Sponsors and Partners

  • Parisson
  • CNRS (National Center of Science Research, France)
  • Huma-Num (big data equipment for digital humanities, ex TGE Adonis)
  • CREM (french National Center of Ethomusicology Research, France)
  • Université Pierre et Marie Curie (UPMC Paris, France)
  • ANR (CONTINT 2012 project : DIADEMS)
  • MNHN : Museum National d’Histoire Naturelle (Paris, France)


  • Copyright (c) 2006, 2014 Parisson SARL
  • Copyright (c) 2006, 2014 Guillaume Pellerin
  • Copyright (c) 2010, 2014 Paul Brossier
  • Copyright (c) 2013, 2014 Thomas Fillon
  • Copyright (c) 2013, 2014 Maxime Lecoz
  • Copyright (c) 2006, 2010 Samalyse SARL


TimeSide is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version.

TimeSide is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

See LICENSE for more details.

File Type Py Version Uploaded on Size
TimeSide-0.5.4-1.tar.gz (md5) Source 2014-03-03 503KB