News
=====
-0.6
+0.1
- * WARNING! some processor ids have changed. Please see the full list below.
- * NEW analyzers: IRIT Monopoly (see Processors)
- * NEW graphers: IRIT Start/Session segmentation
- * Add extensible buffering thanks to pytables (NEW dependency)
- * Add typed parameters in processors and server thanks to traits (NEW dependency)
- * Add a graph model to the pipe thanks to networkx (NEW dependency)
- * Add test sample generators based on GStreamer
- * Add a background image option for rendering analyzers
- * Add on-the-fly filtering decorators
- * Add a Docker development image and a Dockerfile
- * Add a Vagrant development box
- * Update the Debian package installation procedure
- * Results are now stored in pipe.results as as dictionnary of AnalyzerResults
- * Update various processors
- * Prevent duplication of processor in the pipe (i.e. processors sharing the same class and parameters). This also fix #60.
- * Update of Travis CI scripts https://travis-ci.org/yomguy/TimeSide/
-
-0.5.6
-
- * Bugfix release
- * Fix analyzer instanciation as parent for some graphers
- * Store analyzer's results in pipe.results by uuid instead of id (fix #24)
-
-0.5.5
-
- * All processor folders (decoder, analyzer, grapher, encoder) are now real plugin repositories : you can just drop processors in it and play!
- * TimeSide can be installed without Aubio, Yaafe nor Vamp : it should be easier to install on old distributions for which those librairies are difficult or impossible to compile
- * Encoder : add an Opus encoder
- * Experimental : add a django web server with a REST API (see "Web server")
- * AubioPitch: prevent NaN in result by converting them to zero
- * Yaafe analyzer: simplify adaptation of process frames from TimeSide to Yaafe
- * LimsiSad: add a default value for parameter sad_model
- * Fix various NaN and Inf and PEP8 issues also many PyFlake warnings
- * Full `Travis integration <https://travis-ci.org/yomguy/TimeSide/>`_ with tests and test coverage through `coveralls.io <https://coveralls.io/r/yomguy/TimeSide>`_
- * Thanks to all contributors!
- * WARNING: some of the processor paths used in your app could have moved between 0.5.4 and 0.5.5. Check them with timeside.core.processors(). Note that it is now advised to use the timeside.core.get_processor() method to instantiate the processors with their respective id as argument.
- * UPGRADING from the sources: please remove all .pyc files from your repository.
-
-0.5.4
-
- * 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
-
-0.5.3
-
- * 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
-
-0.5.2
-
- * 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
-
-0.5.1
-
- * 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
-
-0.5.0
-
- * 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 tools)
- * Add new documentation : http://files.parisson.com/timeside/doc/
- * New Debian repository for instant install
- * Various bugfixes
- * Comptatible with Python >=2.7
- * WARNING : no longer compatible with Telemeta 1.4.5
-
-0.4.5
-
- * (re)fix Pillow support (#12)
- * fix some python package rules
- * add a Debian package directory (thanks to piem, in git repo only)
-
-0.4.4
-
- * Only setup bugfixes
- * Last compatible version with Python 2.6
- * Next version 0.5 will integrate serious new analyzer features (aubio, yaafe and more)
-
-0.4.3
-
- * 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)
-
-0.4.2
-
- * 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.
-
-0.4.1
-
- * 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
-
-0.4.0
-
- * 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/alltests.py)
- * 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
-
-0.3.3
-
- * 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
-
-0.3.2
-
- * 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
+ * Extract Diadems analyzers from `TimeSide <https://github.com/Parisson/TimeSide>`_
TimeSide : open web audio processing framework
==============================================
-|version| |downloads| |travis_master| |coveralls_master|
+#|version| |downloads|
+|travis_master| #|coveralls_master|
-.. |travis_master| image:: https://secure.travis-ci.org/Parisson/TimeSide.png?branch=master
- :target: https://travis-ci.org/Parisson/TimeSide/
+.. |travis_master| image:: https://secure.travis-ci.org/ANR-DIADEMS/timeside-diadems.png?branch=master
+ :target: https://travis-ci.org/ANR-DIADEMS/timeside-diadems/
.. |coveralls_master| image:: https://coveralls.io/repos/yomguy/TimeSide/badge.png?branch=master
:target: https://coveralls.io/r/yomguy/TimeSide?branch=master
:target: https://pypi.python.org/pypi/TimeSide/
:alt: Downloads
+TimeSide-diadems is a set of plugins for `TimeSide <https://github.com/Parisson/TimeSide>`_ developped during the `DIADEMS project <http://www.irit.fr/recherches/SAMOVA/DIADEMS/en/welcome/>`_ project funded by `ANR <http://www.agence-nationale-recherche.fr/en>`_, the French National Research Agency (CONTINT 2012 project : DIADEMS).
+
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 large datasets of audio and video assets of any format. Its simple plug-in architecture can be adapted to various use cases.
TimeSide also includes a smart interactive HTML5 player which provides various streaming playback functions, formats selectors, fancy audio visualizations, segmentation and semantic labelling synchronized with audio events. It is embeddable in any web application.
-Goals
-======
-
-* **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 like Aubio, Yaafe and VAMP as well as some pure python processors
-* **Visualize** sounds with various fancy waveforms, spectrograms and other cool graphers,
-* **Transcode** audio data in various media formats and stream them through web apps,
-* **Organize**, **serialize** and **save** feature analysis data through various portable formats,
-* **Playback** and **interact** **on demand** through a smart high-level HTML5 extensible player,
-* **Index**, **tag** and **annotate** audio archives with semantic metadata (see `Telemeta <http://telemeta.org>`__ which embed TimeSide).
-
-
-Funding and Support
-===================
-
-To fund the project and continue our fast development process, we need your explicit support. So if you use TimeSide in production or even in development, please let us know:
-
- * star or fork the project on `GitHub <https://github.com/Parisson/TimeSide>`_
- * tweet something to `@parisson_studio <https://twitter.com/parisson_studio>`_ or `@yomguy <https://twitter.com/yomguy>`_
- * drop us an email <support@parisson.com>
-
-Thanks for your help!
-
-Architecture
-============
-
-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.
-
-.. image:: http://vcs.parisson.com/gitweb/?p=timeside.git;a=blob_plain;f=doc/slides/img/timeside_schema.svg;hb=refs/heads/dev
- :width: 800 px
-
-Dive in
-========
-
-To list all available plugins::
-
- import timeside
- timeside.core.list_processors()
-
-Define some processors::
-
- from timeside.core import get_processor
- decoder = get_processor('file_decoder')('sweep.wav')
- grapher = get_processor('waveform_simple')
- analyzer = get_processor('level')
- encoder = get_processor('vorbis_encoder')('sweep.ogg')
-
-Then run the *magic* pipeline::
-
- (decoder | grapher | analyzer | encoder).run()
-
-Render the grapher results::
-
- grapher.render(output='waveform.png')
-
-Show the analyzer results::
-
- print 'Level:', analyzer.results
-
-The encoded OGG file should also be there...
-
-For more extensive examples, please see the `full documentation <http://files.parisson.com/timeside/doc/>`_.
-
-
-News
-=====
-
-0.6.1
-
- * Fix various minor bugs
- * Fix docker sandbox
- * Auto build docker image (https://registry.hub.docker.com/u/parisson/timeside/)
-
-0.6
-
- * WARNING! some processor ids have changed. Please see the full list below.
- * NEW analyzers: IRIT Monopoly (see Processors)
- * NEW graphers: IRIT Start/Session segmentation
- * Add extensible buffering thanks to pytables (NEW dependency)
- * Add typed parameters in processors and server thanks to traits (NEW dependency)
- * Add a graph model to the pipe thanks to networkx (NEW dependency)
- * Add test sample generators based on GStreamer
- * Add a background image option for rendering analyzers
- * Add on-the-fly filtering decorators
- * Add a Docker development image and a Dockerfile
- * Add a Vagrant development box
- * Update the Debian package installation procedure
- * Results are now stored in pipe.results as as dictionnary of AnalyzerResults
- * Update various processors
- * Prevent duplication of processor in the pipe (i.e. processors sharing the same class and parameters). This also fix #60.
- * Update of Travis CI scripts https://travis-ci.org/Parisson/TimeSide/
-
-0.5.6
-
- * Bugfix release
- * Fix analyzer instanciation as parent for some graphers
- * Store analyzer's results in pipe.results by uuid instead of id (fix #24)
-
-For older news, please visit: https://github.com/Parisson/TimeSide/blob/master/NEWS.rst
-
-Processors
-==========
-
-IEncoder
---------
-
- * **live_encoder** : Gstreamer-based Audio Sink
- * **flac_encoder** : FLAC encoder based on Gstreamer
- * **aac_encoder** : AAC encoder based on Gstreamer
- * **mp3_encoder** : MP3 encoder based on Gstreamer
- * **vorbis_encoder** : OGG Vorbis encoder based on Gstreamer
- * **opus_encoder** : Opus encoder based on Gstreamer
- * **wav_encoder** : WAV encoder based on Gstreamer
- * **webm_encoder** : WebM encoder based on Gstreamer
-
-IDecoder
---------
-
- * **array_decoder** : Decoder taking Numpy array as input
- * **file_decoder** : File Decoder based on Gstreamer
- * **live_decoder** : Live source Decoder based on Gstreamer
-
-IGrapher
---------
-
- * **grapher_aubio_pitch** : Image representing Aubio Pitch
- * **grapher_onset_detection_function** : Image representing Onset detection function
- * **grapher_waveform** : Image representing Waveform from Analyzer
- * **grapher_irit_speech_4hz_segments** : Image representing Irit 4Hz Speech Segmentation
- * **grapher_irit_speech_4hz_segments_median** : Image representing Irit 4Hz Speech Segmentation with median filter
- * **grapher_monopoly_segments** : Image representing Irit Monopoly Segmentation
- * **grapher_limsi_sad_etape** : Image representing LIMSI SAD with ETAPE model
- * **grapher_limsi_sad_maya** : Image representing LIMSI SAD with Mayan model
- * **grapher_irit_startseg** : Image representing IRIT Start Noise
- * **spectrogram_log** : Logarithmic scaled spectrogram (level vs. frequency vs. time).
- * **spectrogram_lin** : Linear scaled spectrogram (level vs. frequency vs. time).
- * **waveform_simple** : Simple monochrome waveform image.
- * **waveform_centroid** : Waveform where peaks are colored relatively to the spectral centroids of each frame buffer.
- * **waveform_contour_black** : Black amplitude contour waveform.
- * **waveform_contour_white** : an white amplitude contour wavform.
- * **waveform_transparent** : Transparent waveform.
-
-IAnalyzer
----------
-
- * **mean_dc_shift** : Mean DC shift analyzer
- * **level** : Audio level analyzer
- * **aubio_melenergy** : Aubio Mel Energy analyzer
- * **aubio_mfcc** : Aubio MFCC analyzer
- * **aubio_pitch** : Aubio Pitch estimation analyzer
- * **aubio_specdesc** : Aubio Spectral Descriptors collection analyzer
- * **aubio_temporal** : Aubio Temporal analyzer
- * **yaafe** : Yaafe feature extraction library interface analyzer
- * **irit_monopoly** : Segmentor Monophony/Polyphony based on the analysis of yin confidence.
- * **irit_startseg** : Segmentation of recording sessions into 'start' and 'session' segments
- * **irit_speech_4hz** : Speech Segmentor based on the 4Hz energy modulation analysis.
- * **irit_speech_entropy** : Speech Segmentor based on Entropy analysis.
- * **limsi_sad** : Limsi Speech Activity Detection Systems
- * **spectrogram_analyzer** : Spectrogram image builder with an extensible buffer based on tables
- * **onset_detection_function** : Onset Detection Function analyzer
- * **spectrogram_analyzer_buffer** : Spectrogram image builder with an extensible buffer based on tables
- * **waveform_analyzer** : Waveform analyzer
-
-IEffect
--------
-
- * **fx_gain** : Gain effect processor
-
-API / Documentation
-====================
-
-* General : http://files.parisson.com/timeside/doc/
-* Tutorial : http://files.parisson.com/timeside/doc/tutorial/index.html
-* API : http://files.parisson.com/timeside/doc/api/index.html
-* Player / UI : https://github.com/Parisson/TimeSide/wiki/Ui-Guide (see also "Web player")
-* Notebooks : http://nbviewer.ipython.org/github/thomasfillon/Timeside-demos/tree/master/
-* Usage : http://archives.crem-cnrs.fr/archives/items/CNRSMH_E_2004_017_001_01/
-
-Install
-=======
-
-The TimeSide engine is intended to work on all Linux and Unix like platforms. It depends on several other python modules and compiled libraries like GStreamer.
-
-Debian, Ubuntu
----------------
-
-For Debian based distributions, we provide a safe repository giving additional dependencies that are not included in Debian yet. Please follow the instructions on `this page <http://debian.parisson.com/debian/>`_.
-
-Other Linux distributions
---------------------------
-
-On other Linux platforms, you need to install all dependencies listed in Dependencies finding all equivalent package names for your distribution.
-
-Then, use pip::
-
- sudo pip install timeside
-
-OSX / Windows
---------------
-
-Native install is hard at the moment but you can either run our Vagrant or Docker images (see Development).
-
-Dependencies
--------------
-
-Needed:
-
- python (>=2.7) python-setuptools python-numpy python-scipy python-h5py python-matplotlib python-imaging
- python-simplejson python-yaml python-mutagen libhdf5-serial-dev python-tables python-gst0.10
- gstreamer0.10-gnonlin gstreamer0.10-plugins-good gstreamer0.10-plugins-bad gstreamer0.10-plugins-ugly
-
-Optional:
-
- aubio (>=0.4.1) yaafe python-aubio python-yaafe vamp-examples
- django (>=1.4) django-south djangorestframework django-extensions
-
-User Interfaces
-===============
-
-Python
--------
-
-Of course all the TimeSide are available in our beloved python envionment.
-As IPython is really great for discovering objects with completion, writing notebooks, we strongly advise to install and use it::
-
- sudo apt-get install ipython
- ipython
- >>> import timeside
-
-
-Shell
-------
-
-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
-
- Options:
- -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
- results
- -I <formats>, --images-formats=<formats>
- list of graph output formats for the analyzers results
- -o <outputdir>, --ouput-directory=<outputdir>
- output directory
-
-
-Find some preset examples in examples/presets/
-
-
-Web player
------------
-
-TimeSide comes with a smart and pure **HTML5** audio player.
-
-Features:
- * 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
-
-Screenshot:
- .. image:: https://raw.github.com/Parisson/TimeSide/master/doc/slides/img/timeside_player_01.png
-
-Examples of the player embeded in the Telemeta open web audio CMS:
- * http://parisson.telemeta.org/archives/items/PRS_07_01_03/
- * http://archives.crem-cnrs.fr/items/CNRSMH_I_1956_002_001_01/
-
-Development documentation:
- * https://github.com/Parisson/TimeSide/wiki/Ui-Guide
-
-TODO list:
- * zoom
- * layers
-
-
-Web server
------------
-
-An EXPERIMENTAL web server based on Django has been added to the package from version 0.5.5. The goal is to provide a full REST API to TimeSide to enable new kinds of audio processing web services.
-
-A sandbox is provided in timeside/server/sandbox and you can initialize it and test it like this::
-
- cd examples/sandbox
- ./manage.py syncdb
- ./manage.py migrate
- ./manage.py runserver
-
-and browse http://localhost:8000/api/
-
-At the moment, this server is NOT connected to the player using TimeSide alone. Please use Telemeta.
-
Development
===========
|travis_dev| |coveralls_dev|
-.. |travis_dev| image:: https://secure.travis-ci.org/Parisson/TimeSide.png?branch=dev
- :target: https://travis-ci.org/Parisson/TimeSide/
+.. |travis_dev| image:: https://secure.travis-ci.org/ANR-DIADEMS/timeside-diadems.png?branch=dev
+ :target: https://travis-ci.org/ANR-DIADEMS/timeside-diadems/
.. |coveralls_dev| image:: https://coveralls.io/repos/yomguy/TimeSide/badge.png?branch=dev
:target: https://coveralls.io/r/yomguy/TimeSide?branch=dev
-Docker (recommended)
---------------------
-
-Docker is a great tool for developping and deploying processing environments! Our docker container includes all the necessary packages and environments for development and production with TimeSide.
-
-First, install Docker: https://docs.docker.com/installation/
-
-Then, simply pull our dev image and run::
-
- sudo docker pull parisson/timeside
- sudo docker run parisson/timeside
-
-To get a shell::
-
- sudo docker run -ti parisson/timeside bash
-
-More infos: https://registry.hub.docker.com/u/parisson/timeside/
-
-To start the web server through the container::
-
- sudo docker run -p 9000:80 parisson/timeside
-
-Finally browse http://localhost:9000/api/
-
-To start a new development, it is advised to checkout the dev branch and build your own container::
-
- sudo docker run -ti parisson/timeside bash
- cd /opt/TimeSide
- git checkout dev
-
-
-VirtualBox and Vagrant (deprecated)
------------------------------------
-
-We also provide a vagrant box to install a virtual Debian system including TimeSide and all other dependencies.
-First, install Vagrant and VirtualVox::
-
- sudo apt-get install vagrant virtualbox
-
-On other OS, we need to install the packages correponding to your system:
-
- * Vagrant: https://www.vagrantup.com/downloads.html
- * VirtualBox: https://www.virtualbox.org/wiki/Downloads
-
-Then setup our image box like this in a terminal::
-
- vagrant box add parisson/timeside-wheezy64 http://files.parisson.com/vagrant/timeside/parisson-timeside-wheezy64.box
- vagrant init parisson/timeside-wheezy64
- vagrant up
- vagrant ssh
-
-To stop the virtual box::
-
- exit
- vagrant halt
-
-
-Native
--------
-
-First, install TimeSide (see Install).
-
-Then::
-
- sudo apt-get build-dep python-timeside
- sudo apt-get install git
- git clone https://github.com/Parisson/TimeSide.git
- cd TimeSide
- git checkout dev
- sudo pip install -e .
- echo "export PYTHONPATH=$PYTHONPATH:`pwd`" >> ~/.bashrc
- source ~/.bashrc
- tests/run_all_tests
-
-
-Sponsors and Partners
-=====================
+Partners
+========
+* Science and Technology of Information and Communication
+
+ * `IRIT <http://www.irit.fr/>`_
+ * `LAM <http://www.lam.jussieu.fr/>`_
+ * `LABRI <http://www.labri.fr/>`_
+ * `CNRS-LIMSI <http://www.limsi.fr/>`_
+* Musicology and Ethnomusicology Research
+ * `LESC-CNRS <http://www.mae.u-paris10.fr/lesc/>`_
+ * `CREM <http://www.crem-cnrs.fr/>`_
+ * `MNHN <http://www.ecoanthropologie.cnrs.fr/>`_
+* Development * ``_
* `Parisson <http://parisson.com>`_
- * `CNRS <http://www.cnrs.fr>`_ (National Center of Science Research, France)
- * `Huma-Num <http://www.huma-num.fr/>`_ (big data equipment for digital humanities, ex TGE Adonis)
- * `CREM <http://www.crem-cnrs.fr>`_ (french National Center of Ethomusicology Research, France)
- * `Université Pierre et Marie Curie <http://www.upmc.fr>`_ (UPMC Paris, France)
- * `ANR <http://www.agence-nationale-recherche.fr/>`_ (CONTINT 2012 project : DIADEMS)
- * `MNHN <http://www.mnhn.fr>`_ : Museum National d'Histoire Naturelle (Paris, France)
+
Related projects
* `Telemeta <http://telemeta.org>`__ : open web audio platform
* `Sound archives <http://archives.crem-cnrs.fr/>`_ of the CNRS, CREM and the "Musée de l'Homme" in Paris, France.
- * The `DIADEMS project <http://www.irit.fr/recherches/SAMOVA/DIADEMS/en/welcome/>`_ sponsored by the ANR.
+
Copyrights
==========
* 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) 2013, 2014 David Doukhan
-* Copyright (c) 2006, 2010 Olivier Guilyardi
-
+* Copyright (c) 2014 Dominque Fourer
+* Copyright (c) 2014 Jean-Luc Rouas
License
=======
-TimeSide is free software: you can redistribute it and/or modify
+TimeSide-Diadems 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,
+TimeSide-Diadems 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.
projects / timeside-diadems.git / commitdiff