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.
