Music Demixing Challenge Starter Kit

screenshot of Music Demixing Challenge Starter Kit

Music Demixing Challenge Starter Kit

Starter kit for getting started in the Music Demixing Challenge.

Overview

The Music Demixing Challenge Submission template and Starter kit is a repository that provides documentation, starter code, and instructions for participating in the Music Demixing (MDX) Challenge. This challenge is designed for researchers and machine learning enthusiasts to test their skills in audio source separation. Participants are required to train their models locally and submit them to AIcrowd for evaluation. The repository includes information on the competition procedure, accessing and using the dataset, and getting started with participation.

Features

  • Documentation on how to submit models to the leaderboard
  • Best practices and evaluation information
  • Starter code for development

Installation

To install the Music Demixing Challenge Submission template and Starter kit, follow these steps:

  1. Clone the repository to your local machine:
git clone [repository URL]
  1. Add your SSH key to AIcrowd GitLab. If you do not have SSH keys, generate one and add it to your GitLab account.

  2. Install the competition specific dependencies.

  3. Try out the random prediction codebase present in test.py.

Summary

The Music Demixing Challenge Submission template and Starter kit is a resource for participants of the Music Demixing Challenge. It provides documentation, starter code, and instructions for submitting models to the AIcrowd leaderboard. Participants are required to train their models locally and upload them for evaluation. The repository also includes information on accessing and using the dataset, as well as guidance on software runtime and dependencies. Overall, the template and starter kit aim to facilitate participation in the challenge and provide a structured framework for developing and submitting audio source separation models.