qwen3-tts-skills

Generate local text-to-speech with voice cloning and batch dubbing.

13|1|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/mu-zi-lee/qwen3-tts-skill --skill qwen3-tts-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qwen3-tts-skills
Source: https://github.com/mu-zi-lee/qwen3-tts-skill/tree/main
Command: npx skills add https://github.com/mu-zi-lee/qwen3-tts-skill --skill qwen3-tts-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires qwen-tts, soundfile, torch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill eliminates the need for manual, cloud-dependent text-to-speech workflows, enabling local, high-quality speech generation for diverse content creation tasks without recurring API costs or privacy concerns.

Core Features & Use Cases

  • Multi-mode TTS generation: Supports CustomVoice (built-in speakers + emotion control), VoiceDesign (natural language voice design), VoiceClone (reference audio cloning), and Tokenizer (audio encode/decode validation).
  • Long-form batch dubbing: Automates the end-to-end process of converting articles, audiobooks, or video scripts into full merged audio files, with support for multi-role dialogue, configurable silence gaps, and segment-level emotion control.
  • Use Case: Content creators can produce video voiceovers, educators can make audiobook versions of course materials, and developers can integrate local TTS into applications without relying on external services.

Quick Start

Use the qwen3-tts-skills skill to generate a 1-minute Chinese audiobook segment with a natural female voice, or clone a reference audio to narrate your entire blog post with consistent tone.

Frequently Asked Questions about qwen3-tts-skills

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

FAQPage Schema
How do I generate local text-to-speech audio without relying on cloud APIs?

Local text-to-speech generation without cloud APIs is achieved by running inference directly on your machine using configurable performance parameters. This eliminates recurring API costs and privacy concerns while supporting video voiceover and audiobook production.

Can I clone a voice from a reference audio for multi-role dialogue narration?

Voice cloning from reference audio supports multi-role dialogue narration and personalized voice design. You can use natural language prompts to design voices or clone audio references to narrate long-form content with consistent tone.

What is the best way to automate batch dubbing for long-form audiobooks?

Batch dubbing for long-form audiobooks automates converting articles or video scripts into merged audio files. It supports configurable silence gaps, segment-level emotion control, and FFmpeg merging for the final output.

Does local TTS inference with Torch support built-in speakers and emotion control?

Local TTS inference with Torch supports built-in speakers and emotion control through the CustomVoice mode. This allows configurable performance parameters for generating natural speech locally without external services.

Do I need FFmpeg installed to merge audio segments during text-to-speech workflows?

FFmpeg is required for merging audio segments during batch text-to-speech workflows. The process automates merging individual speech segments into full audio files with configurable silence gaps between dialogues.

Why use local speech generation instead of third-party text-to-speech services for content creation?

Local speech generation avoids third-party text-to-speech services to eliminate recurring API costs and privacy concerns. It enables high-quality, customizable voice generation for video voiceovers and audiobook production directly on your infrastructure.