Musica is an online audio splitter. It works with the power of AI which makes it faster. It has different pre-trained models which helps to split audio files into different components. This project we have made as our final year project and in future we are also looking to enhance it's features.
- Source partition for music is the errand of detaching commitments, or stems, from various instruments recorded exclusively and organized together to frame a melody. Such parts incorporate voice, bass, drums, and some other backups.
- In this project, we focus on the creation of the application which implies the concept of source separation to attain the instrumental stats of a song when chosen or requested by the user.
- We are using deezer/spleeter library for music seperation
Dependencies - NodeJS, mongoDB and terminal.
- Download repo on your local enviorment. Open it in terminal by using cd commands.
- Run npm i on terminal and download node required packages.
- Create a .env file and add Google API ID and Secret. Same process for adding mailTrap credentials.
- Once the OAuth is configured then run node app.js on terminal to run project on your local enviorment.
- Go to chrome and type (http://localhost:3000/).
- Kundan Kumar (Final Year Student at NIET, Greater Noida Portfolio:- [https://candy-6646.github.io/portfolio/]
- Sahil Kumar (Final Year Student at NIET, Greater Noida Github:- [https://github.com/Vi-r-us]
- Saro Elza Mathew (Final Year Student at NIET, Greater Noida Github:- [https://github.com/Saro2]
- Subhankit Nawani (Final Year Student at NIET, Greater Noida Github:- [https://github.com/Subha]
Youtube:- https://youtu.be/DzPDmF4xJQM