W-Okada Voice Changer is an open-source real-time voice conversion software that uses AI to transform voices with high quality and low latency.
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https://github.com/w-okada/voice-changer
W-Okada Voice Changer

Product Information

Updated:09/11/2024

What is W-Okada Voice Changer

W-Okada Voice Changer is a client software for real-time voice conversion that supports various AI voice conversion models. Developed by Watanabe Okada, it allows users to transform their voice into different characters or styles in real-time for applications like streaming, gaming, and content creation. The software is available for Windows and Mac, with options to use CPU or GPU acceleration.

Key Features of W-Okada Voice Changer

W-Okada Voice Changer is a free, open-source real-time voice conversion software that uses AI to transform voices. It supports multiple voice conversion models, allows customization of voice settings, and can integrate with various applications for streaming, gaming, and more. The software works on Windows, Mac, and Linux, with options for both CPU and GPU processing.
Real-time voice conversion: Converts voices in real-time using AI models for immediate output
Multiple voice models: Supports various AI voice conversion models like RVC, DDSP-SVC, and So-VITS-SVC
Customizable voice settings: Allows adjustment of pitch, quality, and other parameters to fine-tune the output voice
Cross-platform compatibility: Works on Windows, Mac, and Linux operating systems
GPU acceleration: Supports GPU processing for faster performance on compatible systems

Use Cases of W-Okada Voice Changer

Game streaming: Streamers can use it to alter their voice for entertainment or anonymity while broadcasting gameplay
Voice acting: Voice actors can experiment with different voice styles for characters or demos
Content creation: YouTubers and podcasters can create varied voice content for their channels
Language learning: Students can practice pronunciation by comparing their voice to native speaker models

Pros

Free and open-source
Supports multiple AI voice conversion models
Cross-platform compatibility

Cons

Can be complex to set up for beginners
Requires powerful hardware for optimal real-time performance
Limited documentation and support compared to commercial alternatives

How to Use W-Okada Voice Changer

Download the voice changer: Go to the GitHub repository for W-Okada Voice Changer. Scroll down to the releases table and download the latest version compatible with your operating system.
Install dependencies: Install any required dependencies like Python, PyTorch, etc. as specified in the installation instructions.
Launch the application: Run the voice changer executable. Grant any necessary administrator permissions. Wait for the initial loading and file downloads to complete.
Select voice model: Choose an RVC (voiceover) model from the available options or upload your own custom model.
Configure audio settings: Set up your input/output audio devices. Adjust settings like chunk size to balance latency and quality.
Adjust voice parameters: Modify voice settings like pitch, formant, etc. to achieve the desired voice effect.
Test and use: Speak into your microphone and listen to the transformed output in real-time. Use with other applications like games or voice chat.
Record output (optional): Use the built-in recorder or external software to capture the transformed voice if desired.

W-Okada Voice Changer FAQs

Click the 'Edit' button in the list of models to access the menu. Select 'Upload' and choose the .pth/.onnx file of the desired model. After uploading, set an image representing it by clicking on the 'no image' text on the left.

Analytics of W-Okada Voice Changer Website

W-Okada Voice Changer Traffic & Rankings
515.6M
Monthly Visits
#68
Global Rank
#6
Category Rank
Traffic Trends: Jun 2024-Oct 2024
W-Okada Voice Changer User Insights
00:06:42
Avg. Visit DTabsNavuration
5.81
Pages Per Visit
37.2%
User Bounce Rate
Top Regions of W-Okada Voice Changer
  1. US: 19.02%

  2. CN: 11.99%

  3. IN: 9.2%

  4. RU: 5.25%

  5. DE: 3.63%

  6. Others: 50.9%

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