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ultimatevocalremovergui

21,922
1,623
Python

Project Description

GUI for a Vocal Remover that uses Deep Neural Networks.

ultimatevocalremovergui: GUI for a Vocal Remover that uses Deep Neural Networks.

Project Title

ultimatevocalremovergui — A GUI for Vocal Removal Using Deep Neural Networks

Overview

ultimatevocalremovergui is a graphical user interface application that employs state-of-the-art source separation models to remove vocals from audio files. Developed by core contributors Anjok07 and aufr33, it stands out for its user-friendly interface and the use of deep neural networks for high-quality vocal removal.

Key Features

  • Utilizes advanced source separation models for vocal removal
  • Core models are trained by the developers, ensuring quality and reliability
  • Supports various audio formats and provides a straightforward user interface

Use Cases

  • Music producers and DJs can use it to isolate vocals or instrumentals from tracks
  • Content creators can remove vocals from existing music for video background scores
  • Audio engineers can use it for post-production tasks, such as separating vocals from mixed audio

Advantages

  • Easy-to-use GUI that simplifies the vocal removal process
  • Trained models by core developers for enhanced accuracy
  • Supports integration with other audio tools like FFmpeg and Rubber Band

Limitations / Considerations

  • Windows 10 or higher required for optimal performance
  • May not function as expected on Intel Pentium & Celeron CPUs systems
  • Installation to the main C:\ drive is recommended for stability

Similar / Related Projects

  • Demucs: A different source separation model that can be used for similar purposes but lacks a GUI.
  • Spleeter: A Python library for source separation that can be used as an alternative, though it also does not come with a GUI.
  • audacity: A free, open-source, cross-platform audio software that includes features for vocal removal but uses different technology.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 7/20/2020
Updated on 9/18/2025