Metadata-Version: 2.1
Name: minispec
Version: 0.1.1
Summary: Minimal module for computing audio spectrograms
Home-page: http://github.com/marl/minispec
Author: Jason Cramer, Ho-Hsiang Wu, Justin Salamon, and Mark Cartwright
Author-email: jtcramer@nyu.edu
License: ISC
Download-URL: http://github.com/marl/minispec/releases
Keywords: audio music sound
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.8.0)
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: joblib (>=0.12)
Requires-Dist: decorator (>=3.0.0)
Requires-Dist: six (>=1.3)
Provides-Extra: docs
Requires-Dist: numpydoc ; extra == 'docs'
Requires-Dist: sphinx (!=1.3.1) ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Requires-Dist: sphinxcontrib-versioning (>=2.2.1) ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: resampy (>=0.2.0) ; extra == 'tests'
Requires-Dist: audioread (>=2.0.0) ; extra == 'tests'
Requires-Dist: pytest-mpl ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'
Requires-Dist: pytest (<4) ; extra == 'tests'

minispec
=======
A minimal module for computing audio spectrograms.

[![PyPI](https://img.shields.io/pypi/v/minispec.svg)](https://pypi.python.org/pypi/minispec)
[![License](https://img.shields.io/pypi/l/minispec.svg)](https://github.com/marl/minispec/blob/master/LICENSE.md)
[![Build Status](https://travis-ci.org/marl/minispec.png?branch=master)](http://travis-ci.org/marl/minispec?branch=master)
[![Coverage Status](https://coveralls.io/repos/marl/minispec/badge.svg?branch=master)](https://coveralls.io/r/marl/minispec?branch=master)
[![Documentation Status](https://readthedocs.org/projects/minispec/badge/?version=latest)](http://minispec.readthedocs.org/en/latest/?badge=latest)

This module merely strips out all of the spectrogram and Mel spectrogram implementations from [librosa](https://github.com/librosa/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.


