so-vits-svc-4.0-models
| Property | Value |
|---|---|
| License | MIT |
| Author | TachibanaKimika |
| Framework | so-vits-svc 4.0 |
What is so-vits-svc-4.0-models?
This is a comprehensive collection of voice conversion models trained using the so-vits-svc 4.0 framework. The repository contains 9 different character voice models, each trained on substantial amounts of voice data ranging from 2,000 to 7,000 voice samples. These models are specifically designed for high-quality voice conversion tasks and include detailed training loss information.
Implementation Details
The models follow a naming convention of G_${name}_${Epoch}epoch.pth and are trained using the so-vits-svc-4.0 architecture. Each model has been trained with different epoch counts, optimized based on the available voice data.
- Training data ranges from 2,000 to 7,000 voice samples per character
- Includes voice models for characters like sora (3.5k samples), hibiki (7k samples), and tubaki (6k samples)
- Training epochs vary by model, with some reaching 300 epochs
- Loss visualization provided for most models
Core Capabilities
- High-quality voice conversion for multiple character voices
- Support for hs (high-speed) voice processing
- Specialized pitch adjustment (e.g., kageaki model requires pitch lowering)
- Comprehensive voice sample coverage including various vocal expressions
Frequently Asked Questions
Q: What makes this model unique?
These models stand out due to their extensive training data and optimization for specific character voices, with detailed loss tracking and specialized processing requirements for each voice type.
Q: What are the recommended use cases?
The models are ideal for voice conversion tasks, particularly for anime/game character voice synthesis. They're especially suitable for applications requiring high-quality voice conversion with character-specific vocal characteristics.
