Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/Music-and-Culture-Technology-Lab/omnizart

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
https://github.com/Music-and-Culture-Technology-Lab/omnizart

beat-tracking chord drum-transcription music-information-retrieval music-transcription vocal

Last synced: about 2 months ago
JSON representation

Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.

Awesome Lists containing this project

README 

        
# OMNIZART



[![build](https://github.com/Music-and-Culture-Technology-Lab/omnizart/workflows/general-check/badge.svg)](https://github.com/Music-and-Culture-Technology-Lab/omnizart/actions?query=workflow%3Ageneral-check)

[![docs](https://github.com/Music-and-Culture-Technology-Lab/omnizart/workflows/docs/badge.svg?branch=build_doc)](https://music-and-culture-technology-lab.github.io/omnizart-doc/)

[![PyPI version](https://badge.fury.io/py/omnizart.svg)](https://pypi.org/project/omnizart/)

![PyPI - License](https://img.shields.io/pypi/l/omnizart)

[![PyPI - Downloads](https://img.shields.io/pypi/dm/omnizart)](https://pypistats.org/packages/omnizart)

[![Docker Pulls](https://img.shields.io/docker/pulls/mctlab/omnizart)](https://hub.docker.com/r/mctlab/omnizart)



[![DOI](https://joss.theoj.org/papers/10.21105/joss.03391/status.svg)](https://doi.org/10.21105/joss.03391)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5769022.svg)](https://doi.org/10.5281/zenodo.5769022)



Omnizart is a Python library that aims for democratizing automatic music transcription.

Given polyphonic music, it is able to transcribe pitched instruments, vocal melody, chords, drum events, and beat.

This is powered by the research outcomes from [Music and Culture Technology (MCT) Lab](https://sites.google.com/view/mctl/home). The paper has been published to [Journal of Open Source Software (JOSS)](https://doi.org/10.21105/joss.03391).



### Transcribe your favorite songs now in Colab [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Music-and-Culture-Technology-Lab/omnizart/blob/master/colab.ipynb) or [![Replicate](https://replicate.com/breezewhite/omnizart/badge)](https://replicate.ai/breezewhite/omnizart)



# Quick start



Visit the [complete document](https://music-and-culture-technology-lab.github.io/omnizart-doc/) for detailed guidance.



## Pip

``` bash

# Install omnizart

pip install omnizart



# Download the checkpoints

omnizart download-checkpoints



# Transcribe your songs

omnizart drum transcribe 

omnizart chord transcribe 

omnizart music transcribe 

```



## Docker

``` bash

docker pull mctlab/omnizart:latest

docker run -it mctlab/omnizart:latest bash

```



## Conda (install from source)

``` bash

git clone https://github.com/Music-and-Culture-Technology-Lab/omnizart

cd omnizart

# Create a new conda environment

conda env create -f environment.yml

conda activate omnizart

# Install omnizart

pip install .

omnizart download-checkpoints

```



# Supported applications

| Application      | Transcription      | Training           | Evaluation | Description                                      |

|------------------|--------------------|--------------------|------------|--------------------------------------------------|

| music            | :heavy_check_mark: | :heavy_check_mark: |            | Transcribe musical notes of pitched instruments. |

| drum             | :heavy_check_mark: | :interrobang:      |            | Transcribe events of percussive instruments.     |

| vocal            | :heavy_check_mark: | :heavy_check_mark: |            | Transcribe note-level vocal melody.              |

| vocal-contour    | :heavy_check_mark: | :heavy_check_mark: |            | Transcribe frame-level vocal melody (F0).        |

| chord            | :heavy_check_mark: | :heavy_check_mark: |            | Transcribe chord progressions.                   |

| beat             | :heavy_check_mark: | :heavy_check_mark: |            | Transcribe beat position.                        |



**NOTES**

The current implementation for the drum model has unknown bugs, preventing loss convergence when training from scratch.

Fortunately, you can still enjoy drum transcription with the provided checkpoints.



## Compatibility Issue

Currently, Omnizart is **incompatible for ARM-based MacOS** system due to the underlying dependencies.

More details can be found in the [issue #38](https://github.com/Music-and-Culture-Technology-Lab/omnizart/issues/38).



## Citation

If you use this software in your work, please cite:



```

@article{Wu2021,

  doi = {10.21105/joss.03391},

  url = {https://doi.org/10.21105/joss.03391},

  year = {2021},

  publisher = {The Open Journal},

  volume = {6},

  number = {68},

  pages = {3391},

  author = {Yu-Te Wu and Yin-Jyun Luo and Tsung-Ping Chen and I-Chieh Wei and Jui-Yang Hsu and Yi-Chin Chuang and Li Su},

  title = {Omnizart: A General Toolbox for Automatic Music Transcription},

  journal = {Journal of Open Source Software}

}

```