carat 0.1.6
Computer-Aided Rhythm Analysis Toolbox
License: MIT
Keywords: audio music sound

carat
=====
<pre>
 _  _  __ _ _|_
(_ (_| | (_| |_   computer-aided rhythm analysis toolbox
</pre>


[![PyPI](https://img.shields.io/pypi/v/carat.svg)](https://pypi.python.org/pypi/carat)
[![License](https://img.shields.io/github/license/mrocamora/carat.svg)](https://github.com/mrocamora/carat/blob/master/LICENSE.md)


Documentation
-------------
See [https://carat.readthedocs.io](https://carat.readthedocs.io/en/latest/) for a complete reference manual and introductory tutorials.


Demonstration notebooks
-----------------------
Some demonstrations of what you can do with carat:

* [Rhythmic patterns demo notebook](http://nbviewer.ipython.org/github/mrocamora/carat/blob/master/examples/carat_rhythmic_patterns_demo.ipynb): how to extract rhythmic patterns from an audio recording.
* [Microtiming patterns demo notebook](http://nbviewer.ipython.org/github/mrocamora/carat/blob/master/examples/carat_microtiming_patterns_demo.ipynb): how to extract microtiming patterns from an audio recording.
* [Onsets detection demo notebook](http://nbviewer.ipython.org/github/mrocamora/carat/blob/master/examples/carat_onsets_detection_demo.ipynb): how to detect onsets from an audio recording.


Installation
------------

The latest stable release is available on PyPI, and you can install it by
```
pip install carat
```

To build carat from source, use `python setup.py build`.
Then, to install carat, 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 carat.zip
pip install -e carat
```
or
```
git clone https://github.com/mrocamora/carat.git
pip install -e carat
```

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

### Hints for the Installation

`carat` uses `librosa` to load audio files. The following are the installation hints provided by librosa in order to install the needed dependencies to load audio files. 

`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 `pip` on a Linux environment, you may need to install `libsndfile`
manually.  Please refer to the [SoundFile installation documentation](https://pysoundfile.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.*

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
```

Citing
------

If you want to cite carat please cite the paper published at AAWM 2019:

    Rocamora, and Jure. "carat: Computer-Aided Rhythmic Analysis Toolbox." In Proceedings of Analytical Approaches to World Music. 2019.