| | --- |
| | license: mit |
| | language: |
| | - id |
| | - en |
| | --- |
| | |
| | <img src="https://huggingface.co/Ninaxaep/NinaNinuv2/resolve/main/Pic.jpg" alt="NinaNinuv2 Project Image" width="500" height="500"> |
| |
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| |
|
| | ## 🔉 AUDIO |
| |
|
| | <audio controls> |
| | <source src="https://huggingface.co/Ninaxaep/NinaNinuv2/resolve/main/Audio.wav" type="audio/wav"> |
| | Your browser does not support the audio tag. |
| | </audio> |
| |
|
| | ## Known Bug |
| | * The "S" Letter kinda robotics |
| |
|
| | # NinaNinuv2 RVC MODEL |
| |
|
| | **NinaNinuv2** is a custom voice conversion model built using the **Retrieval-based Voice Conversion (RVC)** framework. This model is designed to provide high-quality voice transformations for various applications, offering precise control over voice characteristics. It has been trained for **500 epochs** to enhance its performance and accuracy. |
| |
|
| | ## 🚀 Model Overview |
| |
|
| | The **NinaNinuv2** RVC model utilizes a robust architecture that combines fast and efficient retrieval techniques with powerful voice transformation capabilities. It was trained to offer optimal performance for real-time voice conversion with minimal latency. |
| |
|
| | ### Key Files: |
| | - **`ninaninuv2.pth`**: The main model weights. |
| | - **`added_IVF818_Flat_nprobe_1_ninaninuv2v2.index`**: The index file for efficient voice feature retrieval. |
| | |
| | ## 💡 Features |
| | |
| | - **High-Quality Voice Conversion**: Preserves the naturalness of the voice while offering a smooth transformation. |
| | - **Efficient Inference**: Leverages optimized indexing techniques for fast, real-time voice conversion. |
| | - **Customizable**: Suitable for a wide range of voice transformation use cases. |
| | |
| | ## 🔧 How to Use |
| | |
| | Download and run RVC v2 |
| | |
| | - [RVC v2](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |
| | - [RVC Easy Gui "interface only"](https://github.com/Tiger14n/RVC-GUI) |
| | - [RVC Mangio](https://github.com/Mangio621/Mangio-RV) |
| | |
