Metadata-Version: 1.2
Name: tffpy
Version: 0.1.3
Summary: Time frequency fading using Gabor multipliers
Home-page: https://gitlab.lis-lab.fr/skmad-suite/tff2020
Author: Valentin Emiya, Ama Marina Kreme
Author-email: valentin.emiya@lis-lab.fr, ama-marina.kreme@lis-lab.fr
License: GNU General Public License v3 (GPLv3)
Description: tffpy
        =====
        
        A Python package for time-frequency fading using Gabor multipliers based on
        the work in paper *Time-frequency fading algorithms based on Gabor
        multipliers* by A. Marina Krémé, Valentin Emiya, Caroline
        Chaux and Bruno Torré́sani, 2020.
        
        Install
        -------
        
        Install the current release with ``pip``::
        
            pip install tffpy
        
        Download the data from `this link <https://gitlab.lis-lab.fr/skmad-suite/tff2020/-/archive/master/tff2020-master.zip?path=data>`_.
        
        Then run function `tffpy.utils.generate_config` in order to create
        a configuration file and modify it to specify the path to your data folder.
        The location of the configuration file is given by function
        `tffpy.utils.get_config_file`.
        
        For additional details, see doc/install.rst.
        
        Usage
        -----
        
        See the `documentation <http://skmad-suite.pages.lis-lab.fr/tff2020/>`_.
        
        Bugs
        ----
        
        Please report any bugs that you find through the `tffpy GitLab project
        <https://gitlab.lis-lab.fr/skmad-suite/tff2020/issues>`_.
        
        You can also fork the repository and create a merge request.
        
        Source code
        -----------
        
        The source code of tffpy is available via its `GitLab project
        <https://gitlab.lis-lab.fr/skmad-suite/tff2020>`_.
        
        You can clone the git repository of the project using the command::
        
            git clone git@gitlab.lis-lab.fr:skmad-suite/tff2020.git
        
        Copyright © 2020
        ----------------
        
        * `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_
        * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
        * `Centre National de la Recherche Scientifique <http://www.cnrs.fr/>`_
        * `Université de Toulon <http://www.univ-tln.fr/>`_
        
        Contributors
        ------------
        
        * `Valentin Emiya <mailto:valentin.emiya@lis-lab.fr>`_
        * `Ama Marina Krémé <mailto:ama-marina.kreme@lis-lab.fr>`_
        
        License
        -------
        
        Released under the GNU General Public License version 3 or later
        (see `LICENSE.txt`).
        
Keywords: time-frequency,fading,filtering,Gabor multiplier,audio
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X 
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
