Fast-Music-Remover
A lightweight audio enhancer for internet media
Listed in categories:
Open SourceGitHubVideoDescription
Fast Music Remover is a lightweight and efficient tool designed to remove music sound effects and noise from any internet media. It processes audio quickly, achieving near-real-time usage with processing times around 8% of the original media length, allowing for a 10-minute video to be processed in less than a minute. The tool currently supports offline analysis, with plans to incorporate live feed support in the future.
How to use Fast-Music-Remover?
To use Fast Music Remover, you can either run it via Docker for a quick setup or install the necessary dependencies manually for more control. For Docker, ensure Docker is installed, then run 'docker-compose up --build' and access the service at 'http://localhost:8080'. For manual installation, install the required dependencies, compile the Media Processor, and start the backend server to submit your media for processing.
Core features of Fast-Music-Remover:
1️⃣
Removes music and sound effects from videos
2️⃣
Processes audio in near-real-time
3️⃣
Supports various media formats
4️⃣
Enhances audio quality by isolating voice tracks
5️⃣
User-friendly interface for easy media submission
Why could be used Fast-Music-Remover?
# | Use case | Status | |
---|---|---|---|
# 1 | Interview Editing: Extract clear voice tracks for professional editing of interviews, especially field reports, while removing ambient noise. | ✅ | |
# 2 | Education Lectures: Improve audio quality of recorded lectures by removing background noise, making them clearer for students. | ✅ | |
# 3 | Home Recording: Enhance the quality of home-recorded content by isolating specific audio tracks and removing unnecessary noise. | ✅ |
Who developed Fast-Music-Remover?
Fast Music Remover is developed by Omer Yusuf Yagci and contributors, focusing on providing an efficient solution for audio processing using advanced techniques like DeepFilterNet for audio enhancement.