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A python package for music and audio analysis.
See http://librosa.github.io/librosa/ for a complete reference manual and introductory tutorials.
What does librosa do? Here are some quick demonstrations:
The latest stable release is available on PyPI, and you can install it by saying
pip install librosa
Anaconda users can install using conda-forge
:
conda install -c conda-forge librosa
To build librosa from source, say python setup.py build
.
Then, to install librosa, say python setup.py install
.
If all went well, you should be able to execute the demo scripts under examples/
(OS X users should follow the installation guide given below).
Alternatively, you can download or clone the repository and use pip
to handle dependencies:
unzip librosa.zip
pip install -e librosa
or
git clone https://github.com/librosa/librosa.git
pip install -e librosa
By calling pip list
you should see librosa
now as an installed pacakge:
librosa (0.x.x, /path/to/librosa)
Note that audioread
needs at least one of the programs to work properly.
librosa
uses audioread
to load audio files.
To fuel audioread
with more audio-decoding power (e. g. for reading MP3 files),
you can either install ffmpeg or GStreamer.
If you are using Anaconda, install ffmpeg by calling
conda install -c conda-forge ffmpeg
If you are not using Anaconda, here are some common commands for different operating systems:
apt-get install ffmpeg
or apt-get install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly
yum install ffmpeg
or yum install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly
brew install ffmpeg
or brew install gstreamer
For GStreamer, you also need to install the Python bindings with
pip install pygobject
Please direct non-development questions and discussion topics to our web forum at https://groups.google.com/forum/#!forum/librosa
If you want to cite librosa in a scholarly work, there are two ways to do it.
If you are using the library for your work, for the sake of reproducibility, please cite the version you used as indexed at Zenodo:
If you wish to cite librosa for its design, motivation etc., please cite the 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.
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