Music-AI-Voices
| Property | Value |
|---|---|
| Author | QuickWick |
| License | Other |
| Community Rating | 617 likes |
| Framework | SoftVC VITS SVC 4.0 & RVC |
What is Music-AI-Voices?
Music-AI-Voices is an extensive collection of AI voice models specifically designed for music creation and voice conversion. The repository contains over 200 trained voice models of various artists, celebrities, and characters, implemented using two primary technologies: SoftVC VITS Singing Voice Conversion (SVC 4.0) and Retrieval-based Voice Conversion (RVC).
Implementation Details
The models are trained using different epoch counts and steps, ranging from small datasets (8k steps) to extensive training sessions (400k+ steps). Each model is optimized for specific vocal characteristics and can be used with compatible voice conversion tools.
- Models utilize both SoftVC VITS SVC 4.0 and RVC architectures
- Training steps vary by model, customized for optimal voice reproduction
- Includes both modern and classic artist voice models
Core Capabilities
- Voice conversion for musical applications
- Support for multiple languages and singing styles
- Compatible with standard voice conversion tools
- Extensive coverage of different vocal ranges and timbres
Frequently Asked Questions
Q: What makes this model unique?
This collection stands out for its comprehensive coverage of different voice types and its dual-technology approach using both SVC and RVC. The models are specifically optimized for musical applications, with varying training depths to suit different use cases.
Q: What are the recommended use cases?
The models are designed for legal-length sample clips of vocals and AI-produced music covers (impressions). They are ideal for machine learning research and voice AI model development, while explicitly not promoting piracy or copyright infringement.
