W-Okada Voice Changer


The Voice Changer project utilizes advanced machine learning models and audio processing techniques to achieve high-quality voice transformations. It supports multiple voice conversion models, including MMVC, so-vits-svc, RVC, and DDSP-SVC, allowing users to choose the most suitable method for their specific needs. This flexibility enables the software to cater to a diverse range of voice changing requirements, from subtle alterations to more dramatic transformations.


One of the standout features of this Voice Changer is its compatibility with various audio input and output methods. It supports both local audio devices and virtual audio devices, making it easy to integrate with popular streaming and communication software. This versatility allows users to apply voice changes in real-time during live streams, video calls, or while recording content.


The software boasts a user-friendly interface that provides easy access to its numerous features and settings. Users can adjust various parameters to fine-tune the voice conversion process, including pitch, formant, and noise reduction settings. This level of control allows for precise customization of the output voice, enabling users to achieve their desired vocal effects.


Voice Changer also includes additional audio processing capabilities, such as noise suppression and audio mixing. These features help to improve the overall quality of the transformed voice, ensuring clear and professional-sounding output. The software's ability to handle background noise and maintain audio clarity makes it particularly useful for content creators working in less-than-ideal acoustic environments.


The project is actively maintained and regularly updated, with the developer consistently adding new features and improvements based on user feedback and technological advancements. This ongoing development ensures that the Voice Changer remains at the forefront of voice transformation technology, offering users access to the latest voice conversion models and techniques.


Key features of the Voice Changer include:

  • Support for multiple voice conversion models (MMVC, so-vits-svc, RVC, DDSP-SVC)
  • Real-time voice transformation capabilities
  • Compatibility with local and virtual audio devices
  • User-friendly interface with customizable settings
  • Adjustable parameters for pitch, formant, and noise reduction
  • Noise suppression and audio mixing functionality
  • Cross-platform support (Windows, Mac, Linux)
  • Integration with popular streaming and communication software
  • Open-source nature, allowing for community contributions and modifications
  • Regular updates and feature additions
  • GPU acceleration support for improved performance
  • Multi-language interface support
  • Ability to save and load voice presets
  • Optional server mode for remote access and control


This comprehensive Voice Changer project offers a powerful and flexible solution for anyone looking to modify their voice in real-time, whether for creative, entertainment, or professional purposes.

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