muda ==== [![GitHub license](https://img.shields.io/badge/license-ISC-blue.svg)](https://raw.githubusercontent.com/bmcfee/muda/master/LICENSE.md) [![PyPI](https://img.shields.io/pypi/v/muda.svg)](https://pypi.python.org/pypi/muda) [![Build Status](https://travis-ci.org/bmcfee/muda.svg?branch=master)](https://travis-ci.org/bmcfee/muda) [![Coverage Status](https://coveralls.io/repos/bmcfee/muda/badge.svg?branch=master&service=github)](https://coveralls.io/github/bmcfee/muda?branch=master) [![Documentation Status](https://readthedocs.org/projects/muda/badge/?version=latest)](http://muda.readthedocs.org/en/latest/?badge=latest) A library for **Mu**sical **D**ata **A**ugmentation. **muda** package implements annotation-aware musical data augmentation, as described in the [muda paper](http://bmcfee.github.io/papers/ismir2015_augmentation.pdf). The goal of this package is to make it easy for practitioners to consistently apply perturbations to annotated music data for the purpose of fitting statistical models. Documentation ------------- The documentation for the latest version of muda is available [here](https://muda.readthedocs.io/en/latest/). Citing ------ If you use this software, please cite the following publication: ``` @inproceedings{mcfee2015_augmentation, author = {McFee,, B. and Humphrey,, E.J. and Bello, J.P.}, year = {2015}, title = {A software framework for musical data augmentation}, booktitle = {16th International Society for Music Information Retrieval Conference}, series = {ISMIR} } ```