voice-changer

Convert speech to different voices using RVC or Pedalboard processing.

598|75|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/wlzh/skills --skill voice-changer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice-changer
Source: https://github.com/wlzh/skills/tree/main/voice-changer
Command: npx skills add https://github.com/wlzh/skills --skill voice-changer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates high-quality audio voice-changing tasks, eliminating tedious manual editing and trial-and-error workflows.

Core Features & Use Cases

  • AI-driven voice conversion: Transform speech to different voices using RVC or Pedalboard-based processing for podcasts, voiceovers, and multimedia projects.
  • Batch and single-file support: Process individual audio files or batches for efficient content production.
  • Configurable voice presets: Choose from predefined voice profiles or integrate custom models via config files.

Quick Start

Run the skill on an audio file to apply a target voice. Example: python3 ~/.claude/skills/voice-changer/scripts/voice_change.py input.mp3 -v female_3

Frequently Asked Questions about voice-changer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI voice conversion for podcast and narration audio files?

AI voice conversion for podcasts and narration is automated by processing audio files through RVC or Pedalboard to perform feature extraction, pitch shifting, and synthesis. This supports both single files and large batch processing workflows.

Do I need PyTorch and ffmpeg to run RVC voice changing on my audio?

Yes, RVC voice changing requires PyTorch-based processing for feature extraction and synthesis, along with standard audio tools like ffmpeg and ffprobe to handle audio file operations correctly.

What's the best way to apply a custom voice preset to an audio file?

To apply a custom voice preset, run the voice change script on your input audio file and specify the target voice profile using the voice flag. You can choose from predefined profiles or integrate custom models via config files.

How does Pedalboard processing compare to RVC for audio voice transformation?

Pedalboard processing and RVC offer two distinct mechanisms for audio voice transformation within the same workflow. RVC handles AI-driven feature extraction and synthesis, while Pedalboard provides configurable audio processing effects.

Can I batch process multiple audio files for voiceovers in a single run?

Yes, batch processing multiple audio files for voiceovers is fully supported. You can process large batches of audio content for efficient content production alongside individual single-file voice conversion tasks.

What limitations should I expect when transforming audio with AI voice change tools?

AI voice change tools require PyTorch-based dependencies and standard audio tools like ffmpeg to function. Processing limitations depend on your available voice presets, custom RVC models, and the complexity of the pitch shifting and synthesis tasks.