ref: 0770148df1d357adfa13b198f8687e2072b315e4
dir: /README.md/
aubio
=====
[](https://travis-ci.org/aubio/aubio "Travis build status")
[](https://ci.appveyor.com/project/piem/aubio "Appveyor build status")
[](https://landscape.io/github/aubio/aubio/master "Landscape code health")
[](https://github.com/aubio/aubio "Commits since last release")
[](http://aubio.readthedocs.io/en/latest/?badge=latest "Latest documentation")
[](https://zenodo.org/badge/latestdoi/396389)
aubio is a library to label music and sounds. It listens to audio signals and
attempts to detect events. For instance, when a drum is hit, at which frequency
is a note, or at what tempo is a rhythmic melody.
Its features include segmenting a sound file before each of its attacks,
performing pitch detection, tapping the beat and producing midi streams from
live audio.
aubio provide several algorithms and routines, including:
- several onset detection methods
- different pitch detection methods
- tempo tracking and beat detection
- MFCC (mel-frequency cepstrum coefficients)
- FFT and phase vocoder
- up/down-sampling
- digital filters (low pass, high pass, and more)
- spectral filtering
- transient/steady-state separation
- sound file read and write access
- various mathematics utilities for music applications
The name aubio comes from _audio_ with a typo: some errors are likely to be
found in the results.
Python module
-------------
A python module for aubio is provided. For more information on how to use it,
please see the file [`python/README.md`](python/README.md) and the
[manual](https://aubio.org/manual/latest/) .
Tools
-----
The python module comes with the following command line tools:
- `aubio` extracts informations from sound files
- `aubiocut` slices sound files at onset or beat timestamps
Additional command line tools are included along with the library:
- `aubioonset` outputs the time stamp of detected note onsets
- `aubiopitch` attempts to identify a fundamental frequency, or pitch, for
each frame of the input sound
- `aubiomfcc` computes Mel-frequency Cepstrum Coefficients
- `aubiotrack` outputs the time stamp of detected beats
- `aubionotes` emits midi-like notes, with an onset, a pitch, and a duration
- `aubioquiet` extracts quiet and loud regions
Documentation
-------------
- [manual](https://aubio.org/manual/latest/), generated with sphinx
- [developer documentation](https://aubio.org/doc/latest/), generated with Doxygen
The latest version of the documentation can be found at:
https://aubio.org/documentation
Build Instructions
------------------
aubio compiles on Linux, Mac OS X, Windows, Cygwin, and iOS.
To compile aubio, you should be able to simply run:
make
To compile the python module:
./setup.py build
See the [manual](https://aubio.org/manual/latest/) for more information about
[installing aubio](https://aubio.org/manual/latest/installing.html).
Citation
--------
Please use the DOI link above to cite this release in your publications. For
more information, see also the [about
page](https://aubio.org/manual/latest/about.html) in [aubio
manual](https://aubio.org/manual/latest/).
Homepage
--------
The home page of this project can be found at: https://aubio.org/
License
-------
aubio is free software: you can redistribute it and/or modify it under the
terms of the GNU General Public License as published by the Free Software
Foundation, either version 3 of the License, or (at your option) any later
version.
Contributing
------------
Patches are welcome: please fork the latest git repository and create a feature
branch. Submitted requests should pass all continuous integration tests.