Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 7 days ago
JSON representation
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 (about 10 years ago)
- Default Branch: master
- Last Pushed: 2021-05-03T14:04:37.000Z (over 3 years ago)
- Last Synced: 2024-12-14T15:38:37.349Z (29 days ago)
- Topics: data-augmentation, machine-learning, music, nyucds, python
- Language: Python
- Size: 2.94 MB
- Stars: 233
- Watchers: 14
- Forks: 33
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-python-machine-learning-resources - GitHub - 12% open · ⏱️ 03.05.2021): (音频处理)
- awesome-dataset-tools - Muda - Python library for augmenting annotated audio data (Libraries / Audio)
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}
}
```