https://github.com/bmcfee/muda

A library for augmenting annotated audio data
https://github.com/bmcfee/muda

data-augmentation machine-learning music nyucds python

Last synced: about 2 months ago
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A library for augmenting annotated audio data

• Host: GitHub
• URL: https://github.com/bmcfee/muda
• Owner: bmcfee
• License: isc
• Created: 2014-11-07T21:21:22.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2021-05-03T14:04:37.000Z (about 3 years ago)
• Last Synced: 2024-03-30T23:22:35.242Z (3 months ago)
• Topics: data-augmentation, machine-learning, music, nyucds, python
• Language: Python
• Size: 2.94 MB
• Stars: 226
• Watchers: 14
• Forks: 33
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Lists

• awesome-python-data-science - muda - A library for augmenting annotated audio data. (Computer Audition / Others)
• awesome-dataset-tools - Muda - Python library for augmenting annotated audio data (Libraries / Audio)
• awesome-python-machine-learning-resources - GitHub - 12% open · ⏱️ 03.05.2021): (音频处理)
• awesome-python-data-science - muda - A library for augmenting annotated audio data. (Computer Audition / NLP)
• my-awesome-stars - bmcfee/muda - A library for augmenting annotated audio data (Python)

README

        
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}

}

```