qwencloud-audio-tts

Convert text into speech using Qwen TTS models with CosyVoice via WebSocket.

36|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/QwenCloud/qwencloud-ai --skill qwencloud-audio-tts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qwencloud-audio-tts
Source: https://github.com/QwenCloud/qwencloud-ai/tree/main/skills/audio/qwencloud-audio-tts
Command: npx skills add https://github.com/QwenCloud/qwencloud-ai --skill qwencloud-audio-tts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Converts text into natural-sounding speech, enabling voice-enabled apps, accessibility features, and narrated content without manual recording.

Core Features & Use Cases

  • Voice diversity: supports multiple system voices and instruct-style options, including CosyVoice via WebSocket.
  • Model flexibility: selects standard qwen3-tts-flash or instruct-flash, plus CosyVoice variants; supports language_type and instructions for tone and pacing.
  • Use Case: build narrated assistants, audio versions of articles, or dynamic audio prompts for bots.

Quick Start

Provide text and optional voice/model to synthesize speech and save the resulting audio.

Frequently Asked Questions about qwencloud-audio-tts

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

FAQPage Schema
How do I convert text to speech using the Qwen TTS API?

To convert text to speech using the Qwen TTS API, provide your text input, select a model like qwen3-tts-flash, configure the API key, and save the resulting synthesized audio output.

Can I control voice tone and pacing during speech synthesis?

Yes, you can control voice tone and pacing during speech synthesis by using instruct-based models like instruct-flash and providing specific instructions, or by setting the language_type parameter for targeted output.

What is the best way to synthesize natural speech with multiple voices?

The best way to synthesize natural speech with multiple voices is using CosyVoice via WebSocket, which supports diverse system voices and instruct-style options for dynamic audio generation.

Does Dashscope support text-to-speech generation for automated audio articles?

Yes, Dashscope supports text-to-speech generation through script-based workflows, enabling you to build narrated assistants or create audio versions of articles without manual recording.

What are the limitations of using qwen3-tts-flash for voice synthesis?

Limitations of using qwen3-tts-flash for voice synthesis include managing API key authentication, handling model selection logic, and configuring error reporting for failed synthesis requests.