Minimal module for computing audio spectrograms
Project description
minispec
A minimal module for computing audio spectrograms.
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for minispec-0.1.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21d4e0e6fb1644bc88c609e345c5cbc7f6856ae72bd49b90b80ce8dc54d06547 |
|
MD5 | fecfd4801ade5c11e60ef7847355f8e2 |
|
BLAKE2b-256 | c6132230a6bc1d891bc8456f32a580376700c757c6b4a48193a2057f4966b627 |