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.
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 git@gitlab.lis-lab.fr:skmad-suite/tff2020.git
Copyright © 2020
Contributors
License
Released under the GNU General Public License version 3 or later (see LICENSE.txt).
1 maintainer
Metadata
1 maintainer
Release files for tffpy 0.1.5
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Release files / tffpy-0.1.5.tar.gz
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