Skip to main content

librosa

A python package for music and audio analysis.

PyPI Anaconda-Server Badge License DOI

CI codecov

Documentation

See https://librosa.org/doc/ for a complete reference manual and introductory tutorials.

The advanced example gallery should give you a quick sense of the kinds of things that librosa can do.

Installation

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 package:

librosa (0.x.x, /path/to/librosa)

Hints for the Installation

librosa uses soundfile and audioread to load audio files. Note that soundfile does not currently support MP3, which will cause librosa to fall back on the audioread library.

soundfile

If you're using conda to install librosa, then most audio coding dependencies (except MP3) 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 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 or gstreamer binaries from this website

For GStreamer, you also need to install the Python bindings with

pip install pygobject

Discussion

Please direct non-development questions and discussion topics to our web forum at https://groups.google.com/forum/#!forum/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

  • 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.

Metadata

Release files for librosa 0.9.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for librosa 0.9.0
File Size Uploaded
librosa-0.9.0.tar.gz 197.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for librosa 0.9.0
File Interpreter ABI Platform
librosa-0.9.0-py3-none-any.whl Python 3 none any Details

Total release size: 409.0 kB

Release files / librosa-0.9.0.tar.gz

Download URL librosa-0.9.0.tar.gz
Size 197.2 kB
Tags Source
SHA-256 checksum
How to use checksums
cd21675d3b9858f8d1b3b1432b360e368145bed37807e1f13b0711aa8cd390fd
BLAKE2b-256 checksum
How to use checksums
083e271edf1b7f64cee3408d4319cbff7927cac04d2d7ff6a632a28d0ec38e64
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

Release files / librosa-0.9.0-py3-none-any.whl

Download URL librosa-0.9.0-py3-none-any.whl
Size 211.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9ebb22cdbf1445e71d16064b75174f6a74d57b6b4b5a70dacbde48d242f0da03
BLAKE2b-256 checksum
How to use checksums
5a9061c239b4bf9aee2ac16dcf1a1f05d5f112ac0ad301f06feacb42fa6834aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

Release history Release notifications | RSS feed

1.0.0

2 release files

0.11.0

2 release files

0.10.1

2 release files

0.10.0

2 release files

0.9.2

2 release files

0.9.1

2 release files

This release

0.9.0 This release

2 release files

0.8.1

2 release files

0.8.0

1 release file

0.7.2

1 release file

0.7.1

1 release file

0.7.0

1 release file

0.6.3

1 release file

0.6.2

1 release file

0.6.1

1 release file

0.6.0

1 release file

0.5.1

1 release file

0.5.0

1 release file

0.4.3

1 release file

0.4.2

1 release file

0.4.1

1 release file

0.4.0

1 release file

0.4.0-pre

0.3.1

1 release file

0.3.0

1 release file

0.2.1

2 release files

0.2.0

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page