Skip to main content

Minimal module for computing audio spectrograms

Project description


A minimal module for computing audio spectrograms.

PyPI License Build Status Coverage Status Documentation Status

This module merely strips out all of the spectrogram and Mel spectrogram implementations from librosa.


See for a reference manual.


The latest stable release is available on PyPI, and you can install it by saying

pip install minispec

To build minispec from source, say python build. Then, to install minispec, say python install.

Alternatively, you can download or clone the repository and use pip to handle dependencies:

pip install -e minispec


git clone
pip install -e minispec

By calling pip list you should see minispec now as an installed package:

minispec (0.x.x, /path/to/minispec)

Hints for the Installation


  • If you wish to cite minispec for its design, motivation etc., please cite the librosa paper published at SciPy 2015:

    McFee, Brian, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto. "librosa: Audio and music signal analysis in python." In Proceedings of the 14th python in science conference, pp. 18-25. 2015.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

minispec-0.1.1.tar.gz (1.5 MB view hashes)

Uploaded source

Built Distribution

minispec-0.1.1-py3-none-any.whl (1.5 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page