# jianchang512/vocal-separate

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1,994 stars · 221 forks · Python · GPL-3.0 · archived

## Links

- GitHub: https://github.com/jianchang512/vocal-separate
- Homepage: https://pyvideotrans.com
- awesome-repositories: https://awesome-repositories.com/repository/jianchang512-vocal-separate.md

## Topics

`music-separation` `spleeter` `vocal-separation` `voice-separation`

## Description

Vocal-separate is an audio processing tool designed to isolate vocal and instrumental tracks from audio and video files. It functions as a local artificial intelligence engine that performs source separation directly on the user's machine, ensuring data privacy by eliminating the need for external server connectivity.

The system provides a browser-based control interface for managing media uploads and monitoring processing tasks. To handle intensive signal decomposition, it utilizes hardware-accelerated tensor processing, which offloads complex mathematical calculations to dedicated graphics hardware to improve speed and memory efficiency.

The software includes an asynchronous task queue to manage multiple requests sequentially and supports programmatic integration through a local network interface. This allows users to automate batch audio separation workflows by connecting custom scripts or applications to the processing engine.

## Tags

### Artificial Intelligence & ML

- [Source Separation Tools](https://awesome-repositories.com/f/artificial-intelligence-ml/audio-source-separation-models/source-separation-tools.md) — Isolates vocal and instrumental tracks from audio or video files for music production and remixing. ([source](https://github.com/jianchang512/vocal-separate/blob/main/README_EN.md))
- [Local AI Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/local-and-on-device-inference/local-ai-inference.md) — Executes deep learning models locally on user hardware to ensure data privacy and offline functionality.
- [Tensor Operation Accelerators](https://awesome-repositories.com/f/artificial-intelligence-ml/cuda-accelerated-neural-networks/tensor-operation-accelerators.md) — Offloads complex tensor operations to local graphics hardware to accelerate audio signal decomposition.

### Graphics & Multimedia

- [AI Media Processing Tools](https://awesome-repositories.com/f/graphics-multimedia/ai-media-processing-tools.md) — Processes media files using local AI models to maintain complete data privacy offline.
- [Audio Stem Extractors](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/audio-analysis-synthesis/audio-feature-extraction/audio-track-extraction/audio-stem-extractors.md) — Uses pre-trained neural networks to isolate specific vocal and instrumental stems from mixed audio files.
- [Vocal Isolation](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/audio-analysis-synthesis/audio-feature-extraction/audio-track-extraction/vocal-isolation.md) — Isolates vocal and instrumental components from media files using local AI models. ([source](https://github.com/jianchang512/vocal-separate#readme))
- [Hardware Accelerated Media Encoders](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing/codec-encoding-utilities/hardware-accelerated-media-encoders.md) — Leverages dedicated graphics hardware to accelerate media transformation and reduce memory usage.

### Software Engineering & Architecture

- [Asynchronous Task Queues](https://awesome-repositories.com/f/software-engineering-architecture/asynchronous-task-queues.md) — Manages incoming separation requests through a sequential background pipeline to prevent resource exhaustion.

### User Interface & Experience

- [Web-Based Control Panels](https://awesome-repositories.com/f/user-interface-experience/web-based-control-panels.md) — Provides a browser-based control panel for managing local background services and processing tasks.