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https://github.com/librosa/librosa
Python library for audio and music analysis
https://github.com/librosa/librosa
audio dsp librosa music python scipy
Last synced: 4 days ago
JSON representation
Python library for audio and music analysis
- Host: GitHub
- URL: https://github.com/librosa/librosa
- Owner: librosa
- License: isc
- Created: 2012-10-20T14:21:01.000Z (about 12 years ago)
- Default Branch: main
- Last Pushed: 2024-10-08T01:00:43.000Z (2 months ago)
- Last Synced: 2024-11-20T10:09:12.415Z (23 days ago)
- Topics: audio, dsp, librosa, music, python, scipy
- Language: Python
- Homepage: https://librosa.org/
- Size: 34.1 MB
- Stars: 7,184
- Watchers: 136
- Forks: 965
- Open Issues: 58
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Authors: AUTHORS.md
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README
[![librosa logo](docs/img/librosa_logo_text.svg)](https://librosa.org/)
# librosa
A python package for music and audio analysis.
[![PyPI](https://img.shields.io/pypi/v/librosa.svg)](https://pypi.python.org/pypi/librosa)
[![Anaconda-Server Badge](https://anaconda.org/conda-forge/librosa/badges/version.svg)](https://anaconda.org/conda-forge/librosa)
[![License](https://img.shields.io/pypi/l/librosa.svg)](https://github.com/librosa/librosa/blob/main/LICENSE.md)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.591533.svg)](https://doi.org/10.5281/zenodo.591533)[![CI](https://github.com/librosa/librosa/actions/workflows/ci.yml/badge.svg)](https://github.com/librosa/librosa/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/librosa/librosa/branch/main/graph/badge.svg?token=ULWnUHaIJC)](https://codecov.io/gh/librosa/librosa)
[![Docs](https://github.com/librosa/librosa/actions/workflows/docs.yml/badge.svg)](https://librosa.org/doc/latest/index.html)# Table of Contents
- [Documentation](#Documentation)
- [Installation](#Installation)
- [Using PyPI](#using-pypi)
- [Using Anaconda](#using-anaconda)
- [Building From Source](#building-from-source)
- [Hints for Installation](#hints-for-the-installation)
- [`soundfile`](#soundfile)
- [`audioread`](#audioread-and-mp3-support)
- [Linux (`apt get`)](#linux-apt-get)
- [Linux (`yum`)](#linux-yum)
- [Mac](#mac)
- [Windows](#windows)
- [Discussion](#discussion)
- [Citing](#citing)---
## Documentation
See https://librosa.org/doc/ for a complete reference manual and introductory tutorials.
The [advanced example gallery](https://librosa.org/doc/latest/advanced.html) should give you a quick sense of the kinds
of things that librosa can do.---
[Back To Top ↥](#librosa)
## Installation
### Using PyPI
The latest stable release is available on PyPI, and you can install it by saying
```
python -m pip install librosa
```### Using Anaconda
Anaconda users can install using ```conda-forge```:
```
conda install -c conda-forge librosa
```### Building from source
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 following commands from a python console:
```
import librosa
librosa.show_versions()
```
This should print out a description of your software environment, along with the installed versions of other packages used by librosa.📝 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
python -m pip install -e librosa
```
or```
git clone https://github.com/librosa/librosa.git
python -m pip install -e librosa
```By calling `pip list` you should see `librosa` now as an installed package:
```
librosa (0.x.x, /path/to/librosa)
```---
[Back To Top ↥](#librosa)
### Hints for the Installation
`librosa` uses `soundfile` and `audioread` to load audio files.
📝 Note that older releases of `soundfile` (prior to 0.11) do not support MP3, which will cause librosa to fall back on the `audioread` library.
### `soundfile`
If you're using `conda` to install librosa, then audio encoding dependencies will be handled automatically.
If you're using `pip` on a Linux environment, you may need to install `libsndfile`
manually. Please refer to the [SoundFile installation documentation](https://python-soundfile.readthedocs.io/#installation) for details.### `audioread` and MP3 support
To fuel `audioread` with more audio-decoding power (e.g., for reading MP3 files),
you may need to install either *ffmpeg* or *GStreamer*.📝*Note that on some platforms, `audioread` needs 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:
- #### 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 ffmpeg binaries from this [website](https://www.gyan.dev/ffmpeg/builds/) or gstreamer binaries from this [website](https://gstreamer.freedesktop.org/)
For GStreamer, you also need to install the Python bindings with
```
python -m pip install pygobject
```---
[Back To Top ↥](#librosa)
## Discussion
Please direct non-development questions and discussion topics to our web forum at
https://groups.google.com/forum/#!forum/librosa---
[Back To Top ↥](#librosa)
## Citing
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:[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.591533.svg)](https://doi.org/10.5281/zenodo.591533)
From librosa version 0.10.2 or later, you can also use `librosa.cite()`
to get the DOI link for any version of librosa.- 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.
---
[Back To Top ↥](#librosa)