tffpy
documentation¶
Overview¶
tffpy
: time-frequency fading problem and solvers using Gabor
multipliers, based paper
Time-frequency fading algorithms based on Gabor multipliers
by M. Kreme, V. Emiya, C. Chaux and B. Torrésani in 2020.
The package tffpy
includes in particular:
- class
tffpy.tf_fading.GabMulTff
that implements the proposed solver for reconstructing a source from a mixture and a time-frequency binary mask. - class
tffpy.experiments.exp_solve_tff.SolveTffExperiment
to conduct the main experiment on mixtures of real sounds, with time-frequency masks generated automatically, using the proposed solutions and baseline solvers. Script tffpy.scripts.script_exp_solve_tff provide example of code to handle the experiment (configuring, running on a computer grid or a single computer, display results).
Similar and complementary code is available in Matlab.
Documentation¶
Release: | 0.1.5 |
---|---|
Date: | February 09, 2021 |