ComfyUI > Nodes > DeepExtract > Vocal and Sound Separator

ComfyUI Node: Vocal and Sound Separator

Class Name

VocalAndSoundRemoverNode

Category
DeepExtract
Author
abdozmantar (Account age: 817days)
Extension
DeepExtract
Latest Updated
2025-08-26
Github Stars
0.05K

How to Install DeepExtract

Install this extension via the ComfyUI Manager by searching for DeepExtract
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter DeepExtract in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Vocal and Sound Separator Description

Separates audio into vocals and music using machine learning for high-quality track isolation.

Vocal and Sound Separator:

The VocalAndSoundRemoverNode is designed to separate audio tracks into distinct components, specifically isolating vocals from the background music. This node leverages advanced machine learning models to perform audio demixing, allowing you to extract vocals and instrumental tracks from a single audio file. This capability is particularly beneficial for music producers, remix artists, and audio engineers who need to manipulate or analyze specific elements of a track. By using this node, you can achieve high-quality separation, enabling creative audio processing and remixing opportunities without the need for original multitrack recordings.

Vocal and Sound Separator Input Parameters:

input_sound

The input_sound parameter is the primary input for the VocalAndSoundRemoverNode, representing the audio file you wish to process. This parameter accepts audio data in a format that the node can interpret and process to separate vocals from the background. The quality and format of the input sound can significantly impact the results, as clearer and higher-quality audio files tend to yield better separation outcomes. There are no explicit minimum, maximum, or default values specified for this parameter, but it is essential to ensure that the audio file is compatible with the node's processing capabilities.

Vocal and Sound Separator Output Parameters:

Vocals

The Vocals output parameter provides the isolated vocal track extracted from the input audio. This output is crucial for applications where the vocal component needs to be analyzed, remixed, or enhanced separately from the instrumental background. The quality of the extracted vocals depends on the input audio's clarity and the model's effectiveness in distinguishing vocal elements from other sounds.

Background

The Background output parameter delivers the instrumental or non-vocal components of the input audio. This output is valuable for creating karaoke tracks, remixing, or further audio processing where the instrumental part is required without the vocal overlay. Like the Vocals output, the quality of the background separation is influenced by the input audio's characteristics and the model's separation capabilities.

Vocal and Sound Separator Usage Tips:

  • Ensure that the input audio is of high quality and free from excessive noise to achieve the best separation results.
  • Experiment with different audio formats and bitrates to find the optimal input settings that yield the highest quality outputs for your specific use case.
  • Use the separated vocal and background tracks creatively in your projects, such as remixing, creating karaoke versions, or enhancing specific audio elements.

Vocal and Sound Separator Common Errors and Solutions:

Error during separation: <error_message>

  • Explanation: This error occurs when there is an issue during the audio separation process, possibly due to an incompatible audio format or a problem with the model loading.
  • Solution: Ensure that the input audio file is in a supported format and check that the model file is correctly downloaded and accessible. If the problem persists, verify the integrity of the audio file and try reprocessing it.

Vocal and Sound Separator Related Nodes

Go back to the extension to check out more related nodes.
DeepExtract
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