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.