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Python module for audio and music processing

Project description

A python package for music and audio analysis.

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See for a complete reference manual and introductory tutorials.

Demonstration notebooks

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 build. Then, to install librosa, say python 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 pip install -e librosa ` or ` git clone pip install -e librosa `

By calling pip list you should see librosa now as an installed pacakge: ` librosa (0.x.x, /path/to/librosa) `

### Hints for the Installation

#### audioread

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:

  • Linux (apt-get): apt-get install ffmpeg or apt-get install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly

  • Linux (yum): yum install ffmpeg or yum install gstreamer1.0-plugins-base gstreamer1.0-plugins-ugly

  • Mac: brew install ffmpeg or brew install gstreamer

  • Windows: download binaries from the website

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!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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