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Last pushed: 6 months ago
Short Description
Yaafe (Yet Another Audio Feature Extractor)
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Yet Another Audio Feature Extractor

Build status

  • Branch master : |travis_master|
  • Branch dev : |travis_dev|
  • Anaconda : |anaconda_build|

.. |travis_master| image::

.. |travis_dev| image::
:target: https://travis-ci.orgYaafe/Yaafe

.. |anaconda_build| image::



.. |conda| image::


Yaafe can be easily install with conda <>_. To install this package with conda run::

conda install -c conda-forge yaafe


.. |docker| image::


Yaafe can also be install through Docker <>_.

Get the official Yaafe image from Yaafe repository on Docker Hub <>_::

docker pull yaafe/yaafe
docker tag yaafe yaafe/yaafe

or build it from the sources directory::

docker build --tag=yaafe .

Following both of the method above, you then have a docker image tagged as yaafe.
The yaafe command is the entrypoint for that docker image so you can run 'yaafe' from the command line through docker run yaafe. For example::

docker run -it yaafe --help
docker run -it yaafe --volume=$(pwd):/wd  --workdir=/wd -c resources/featureplan -r 16000 --resample resources/yaafe_check.wav

On Linux, it can be usefull to create an alias for it::

alias yaafe='docker run -it --rm=true --volume=$(pwd):/wd --workdir=/wd yaafe'

You could then simply run::

yaafe --help
yaafe -l

et voilà !

If you need to set the docker user as the current user on the host, you could try to run docker with the -u $(id -u):$(id -g) option ::

docker run -it --rm=true --volume=$(pwd):/wd  --workdir=/wd -u $(id -u):$(id -g) yaafe -c resources/featureplan -o h5 -r 16000 --resample resources/yaafe_check.wav

Last but not least, the entry-point for the yaafe docker image is smart :

  • every command that start with a dash - will be pass as options to the yaafe command inside the docker container
  • every command that does not start with a dash will be treated as a regular command. For example::

    docker run -it yaafe /bin/bash

will give you access to a bash terminal inside the docker. And ::

docker run -it yaafe yaafe-engine --help

will launch the yaafe-engine` batch processing tool.

From sources

Yaafe source code should compile on linux and MacOsX platform, and uses CMake as compilation tool.
Yaafe requires third-party libraries to enable specific features. Some of these libraries may already be available on your system.

The argtable <>_ library is required.

The eigen <>_ library is also required. You could either installed it through your regular packages manager (e.g. libeigen3-dev <>__ on Debian) and then pass the -DWITH_EIGEN_LIBRARY=ON option flag to ccmake.
Or you can use the source code provided through the git submodule included in the Yaafe git repository and which you can get with the git submodule update --init command. If you used git clone --recursive to clone Yaafe, you don't need this.

Depending on optional features you want to use, other librairies may be used:

  • libsndfile <>_: enable reading WAV files format (highly recommanded)
  • libmpg123 <>_: enable reading MP3 audio files
  • HDF5 <>_ >= 1.8: enable H5 output format
  • liblapack <>_: enable some audio features (LSF)
  • FFTW3 <>_: use FFTW instead of Eigen for FFT computations (pay attention to licensing issues when linking with the GPL FFTW3 library).

To use the yaafe script you need Python >= 2.5, and the numpy package.

Once previous libraries are installed (some may have been locally installed in <lib-path>),
you can compile with the following steps: ::

mkdir build
cd build
ccmake -DCMAKE_PREFIX_PATH=<lib-path> -DCMAKE_INSTALL_PREFIX=<install-path> ..
make install

If you use an external eigen library (and not the one provided by git submodule), don't forget to add the flag: ::


Several options can control Yaafe compilation. More details can be found at:


To easily use Yaafe, you should set the following environment vars::



The output of make install should give you the INSTALL_DIR path (defaults to /usr/local). The python files are installed in /usr/local/lib/python2.7/site-packages, which is not by default in the python path on MacOSX.
The consequence is the error ERROR: cannot load yaafe packages: No module named yaafelib.
There are 3 ways to solve this problem :

  • The simplest way is to add the line sys.path.append("/usr/local/lib/python2.7/site-packages") in /usr/local/bin/yaafe after from optparse import OptionParser, but it won't let you use the yaafelib unless you add this line (and import sys) before each import of yaafelib.

  • You can use export PYTHONPATH=/usr/local/lib/python2.7/site-packages:$PYTHONPATH or add it to your ~/.bash_profile, but this will affect other versions of python.

  • You can move the files to a site-package folder that is in your PYTHONPATH:
    • if you use Python 2: mv /usr/local/lib/python2.7/site-packages/ /usr/local/lib/python2.7/site-packages/yaafelib `python -c 'import sys, re ; print next(i for i in sys.path if re.match(".*site-packages$", i))'
    • if you use Python 3: mv /usr/local/lib/python2.7/site-packages/ /usr/local/lib/python2.7/site-packages/yaafelib `python3 -c 'import sys, re ; print(next(i for i in sys.path if re.match(".*site-packages$", i)))'

If you use Matlab, you can set your MATLABPATH var::



Documentation is also available online: (mirror:

To build documentation, you need Sphinx.
Before building documentation, you should set your environment correctly so that sphinx builds documentation
with automatic features documentation.

To build documentation, just run make doc_python in the build directory. Documentation is built in doc/doc_python/html.


YAAFE is released under the version 3 of the GNU Lesser General Public License. Read COPYING and COPYING.LESSER for
more details. The user should also read DISCLAIMER before linking with optional libraries which have different license policy.


To get help with YAAFE, use the mailing-list (registration
at ).


Yaafe was first developed at Telecom Paristech / AAO Team <>. It uses several great open-source projects like Eigen <>, Smarc <>, libsndfile <>, mpg123 <>, HDF5 <>.

If you want to cite Yaafe in a publication, please see CITATION <CITATION.rst>_.

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