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AI-Based Audio Mixing and Mastering

Overview

This project aims to develop an AI-powered tool for automated audio mixing and mastering. The tool leverages machine learning algorithms to analyze and replicate the effects applied to reference tracks, enabling rapid processing of audio files.

Key Features

  • Automated Mixing and Mastering: AI-driven analysis and application of audio effects.
  • Flexible Adjustment: Users can choose from different effect intensities and manually tweak the results.
  • Support for Various Genres: The AI can be calibrated to handle different music genres, starting with rap.

Project Structure

  • Data Processing: Functions for loading and preparing audio data.
  • Feature Extraction: Methods to extract useful features like MFCCs and spectrograms.
  • Model Training: Scripts to build, train, and evaluate machine learning models.
  • User Interface: A simple application interface (to be developed).

Explore the documentation to learn more about how to use the tool and contribute to the project.