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Nsgt

Non Stationary Gabor Transform (NSGT), Python implementation

Install / Use

/learn @grrrr/Nsgt
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Python implementation of Non-Stationary Gabor Transform (NSGT) derived from MATLAB code by NUHAG, University of Vienna, Austria

Thomas Grill, 2011-2022 http://grrrr.org/nsgt

Austrian Research Institute for Artificial Intelligence (OFAI) AudioMiner project, supported by Vienna Science and Technology Fund (WWTF)

covered by the Artistic License 2.0 http://www.perlfoundation.org/artistic_license_2_0

Mandatory dependencies:

Numerical Python (http://numpy.scipy.org)

Optional dependencies:

PyFFTW3 (https://launchpad.net/pyfftw) will greatly speed up the NSGT transformation if fftw3 is installed on your system

pysndfile (https://pypi.org/project/pysndfile) is recommended for using the built-in audio import/streaming functionality (otherwise ffmpeg would be tried)

Installation:

In the console (terminal application) change to the folder containing this readme.txt file.

To build the package run the following command: python setup.py build

To install the package (with administrator rights): sudo python setup.py install

Todo:

  • Quality measurement for coefficients of sliced transform
  • Unify nsgfwin sliced/non-sliced

Source:

Original matlab code copyright follows:

AUTHOR(s) : Monika Dörfler, Gino Angelo Velasco, Nicki Holighaus, 2010-2011

COPYRIGHT : (c) NUHAG, Dept.Math., University of Vienna, AUSTRIA http://nuhag.eu/ Permission is granted to modify and re-distribute this code in any manner as long as this notice is preserved. All standard disclaimers apply.

View on GitHub
GitHub Stars105
CategoryDevelopment
Updated3mo ago
Forks29

Languages

Python

Security Score

92/100

Audited on Dec 1, 2025

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