Python library for audio and music analysis
A python package for music and audio analysis.
See https://librosa.org/doc/ for a complete reference manual and introductory tutorials.
The latest stable release is available on PyPI, and you can install it by saying
pip install librosa
Anaconda users can install using
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
pipto handle dependencies:
unzip librosa.zip pip install -e librosa
git clone https://github.com/librosa/librosa.git pip install -e librosa
pip listyou should see
librosanow as an installed package:
librosa (0.x.x, /path/to/librosa)
audioreadto load audio files. Note that
soundfiledoes not currently support MP3, which will cause librosa to fall back on the
If you're using
condato install librosa, then most audio coding dependencies (except MP3) will be handled automatically.
If you're using
pipon a Linux environment, you may need to install
libsndfilemanually. Please refer to the SoundFile installation documentation for details.
audioreadwith more audio-decoding power (e.g., for reading MP3 files), you may need to install either ffmpeg or GStreamer.
Note that on some platforms,
audioreadneeds at least one of the programs to work properly.
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 ffmpegor
apt-get install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly
yum install ffmpegor
yum install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly
brew install ffmpegor
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.