Skip to main content

Minimal module for computing audio spectrograms

Project description

minispec

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.

Documentation

See http://minispec.readthedocs.org for a reference manual.

Installation

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 setup.py build. Then, to install minispec, say python setup.py install.

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

unzip minispec.zip
pip install -e minispec

or

git clone https://github.com/marl/minispec.git
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

Citing

  • 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-0.1.0.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

minispec-0.1.0-py2.py3-none-any.whl (1.5 MB view details)

Uploaded Python 2 Python 3

File details

Details for the file minispec-0.1.0.tar.gz.

File metadata

  • Download URL: minispec-0.1.0.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4

File hashes

Hashes for minispec-0.1.0.tar.gz
Algorithm Hash digest
SHA256 400a4cbad6872287f72a34841248ecd21ae8ae99177b3d01258ef36faad0370a
MD5 e43ab35219812eaa891d917020ce6db4
BLAKE2b-256 6766a5c62fd9131fd7c311005ec40c5211607c034ffa3f8fc1d24d3e387f21a9

See more details on using hashes here.

File details

Details for the file minispec-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: minispec-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.4

File hashes

Hashes for minispec-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 21d4e0e6fb1644bc88c609e345c5cbc7f6856ae72bd49b90b80ce8dc54d06547
MD5 fecfd4801ade5c11e60ef7847355f8e2
BLAKE2b-256 c6132230a6bc1d891bc8456f32a580376700c757c6b4a48193a2057f4966b627

See more details on using hashes here.

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