Music genre classification DEMO with Audioset

Frontend app for Music Genre classification demo using Audioset. https://jramcast.github.io/mgr-app/.

Citations

This application is a demo of the research conducted for the following study:

• Machine learning for music genre: multifaceted review and experimentation with audioset

Read the article.

If you use this code or wish to reference this work, please cite it as:

Ramírez, J., Flores, M.J, "Web-Based Music Genre Classification for Timeline Song Visualization and Analysis," in IEEE Access, vol. 9, pp. 18801-18816, 2021, doi: 10.1109/ACCESS.2021.3053864.

If wish to reference the underlying models, cite:

Ramírez, J., Flores, M.J. Machine learning for music genre: multifaceted review and experimentation with audioset. J Intell Inf Syst 55, 469–499 (2020). https://doi.org/10.1007/s10844-019-00582-9

Related repositories

The repository for the application backend is: https://github.com/jramcast/mgr-service

The repository for models training code is: https://github.com/jramcast/music-genre-classification-audioset

Development

To release a build

npm run build

Then, go to dist/, commit changes in gh-pages branch, and push them:

git commit -a -m "Build"
git push origin gh-pages

More detailed instructions in https://medium.com/linagora-engineering/deploying-your-js-app-to-github-pages-the-easy-way-or-not-1ef8c48424b7