tffpy 0.1.2

Time frequency fading using Gabor multipliers

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/-/tree/master/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.

Bugs

Please report any bugs that you find through the tffpy GitLab project.

You can also fork the repository and create a merge request.

Source code

The source code of tffpy is available via its GitLab project.

You can clone the git repository of the project using the command:

git clone [e-mail]:skmad-suite/tff2020.git

Copyright © 2020

• Laboratoire d’Informatique et Systèmes

• Université d’Aix-Marseille

• Centre National de la Recherche Scientifique

• Université de Toulon

Contributors

• Valentin Emiya

• Ama Marina Krémé

License

Released under the GNU General Public License version 3 or later (see LICENSE.txt).