ultimate-rvc  by JackismyShephard

AI-powered audio generation and voice manipulation

Created 1 year ago
256 stars

Top 98.5% on SourcePulse

GitHubView on GitHub
Project Summary

Summary Ultimate RVC is an advanced application for generating audio content, including song covers and speech, leveraging Retrieval-based Voice Conversion (RVC). It targets users aiming to integrate AI-driven singing capabilities into virtual personas, create custom song covers, or generate audiobooks voiced by favorite characters, offering a streamlined approach to RVC with enhanced quality and speed.

How It Works The project enhances RVC with advanced features: multiple pitch extraction methods (e.g., FCPE), various embedder models, and extensive pre/post-processing (autotuning, noise reduction). Key innovations include integrated Text-to-Speech (TTS) for generating speech from text using custom voice models, a robust voice model training suite, and intelligent caching that significantly reduces inference times by reusing intermediate audio files.

Quick Start & Requirements Local setup uses launcher scripts (./urvc install, ./urvc run) for Windows and Debian-based Linux (Ubuntu 22.04/24.04). Prerequisites include Git and PowerShell execution policy (Windows). The script may install CUDA 12.8 on Linux. A PyPI package (pip install ultimate-rvc[cuda]) requires Python 3.12-3.13. Online options: Google Colab and Huggingface Spaces (no GPU acceleration).

Highlighted Details

  • Advanced RVC pipeline with diverse pitch extractors, embedders, and audio processing.
  • Integrated TTS for generating spoken content with custom voice models.
  • Comprehensive voice model training suite and intelligent caching for reduced inference.
  • "Multi-step" generation tabs for isolated pipeline experimentation.
  • Distributable PyPI package for Python integration.

Maintenance & Community Bug reports and feature requests are managed via GitHub Issues. Community engagement is encouraged on the project's Discord server and GitHub Discussions page.

Licensing & Compatibility The specific open-source license type is not explicitly stated. However, "Terms of Use" impose significant restrictions on generated content, prohibiting use for criticism, political/religious advocacy, explicit material, commercial resale of models/clips, malicious impersonation, or fraud. These terms may impact commercial use.

Limitations & Caveats Platform support is limited to Windows and Debian-based Linux (Ubuntu 22.04, 24.04). CUDA toolkit installation may require manual intervention. Huggingface Spaces deployment lacks GPU acceleration. Strict limitations on content utilization are imposed by the "Terms of Use".

Health Check
Last Commit

2 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
5
Star History
18 stars in the last 30 days

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