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qwen-audio

High-performance audio library with text-to-speech (TTS) and speech-to-text (STT).

darknoah0 source installs☆ 0 Repository starsv0.0.4

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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skillhub install darknoah/qwen-audio

Inspect the source and compatibility requirements, then follow its installation steps.

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Skill instructions

Qwen-Audio

Overview

Qwen-Audio is a high-performance audio processing library optimized. It delivers fast, efficient TTS and STT with support for multiple models, languages, and audio formats.

Prerequisites

  • Python 3.10+
Environment checks

Before using any capability, verify that all items in ./references/env-check-list.md are complete.

Capabilities

Voice Management

Voices are stored in the ./voices/ directory at the skill root level. Each voice has its own folder containing:

  • ref_audio.wav - Reference audio file
  • ref_text.txt - Reference text transcript
  • ref_instruct.txt - Voice style description
Create a Voice

Create a reusable voice profile using VoiceDesign model. The --instruct parameter is required to describe the voice style:

uv run --project "/<qwen-audio-skill-path>" python "<qwen-audio-skill-path>/scripts/qwen-audio.py" voice create --text "This is a sample voice reference text." --instruct "A warm, friendly female voice with a professional tone." --id "my-voice-id"

Optional: --id "my-voice-id" to specify a custom voice ID.

Returns (JSON):

{
  "id": "my-voice-id",
  "ref_audio": "/<qwen-audio-skill-path>/voices/my-voice-id/ref_audio.wav",
  "ref_text": "This is a sample voice reference text.",
  "instruct": "A warm, friendly female voice with a professional tone.",
  "duration": 3.456,
  "sample_rate": 24000,
  "success": true
}
List Voices

List all created voice profiles:

uv run --project "/<qwen-audio-skill-path>" python "<qwen-audio-skill-path>/scripts/qwen-audio.py" voice list

Returns (JSON):

[
  {
    "id": "my-voice-id",
    "ref_audio": "/<qwen-audio-skill-path>/voices/my-voice-id/ref_audio.wav",
    "ref_text": "This is a sample voice reference text.",
    "instruct": "A warm, friendly female voice with a professional tone.",
    "duration": 3.456,
    "sample_rate": 24000
  }
]
Text to Speech
TTS Voice Pre-check (Requir...

Source information

Source
github
Repository
openclaw/skills
Path
skills/darknoah/qwen-audio
Version
0.0.4
Commit
1f1d72b27de5ee169cf58c978f5edfbe46ad25f6
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Qwen-Audio

## Overview

Qwen-Audio is a high-performance audio processing library optimized. It delivers fast, efficient TTS and STT with support for multiple models, languages, and audio formats.

## Prerequisites

- Python 3.10+

### Environment checks

Before using any capability, verify that all items in `./references/env-check-list.md` are complete.

## Capabilities

### Voice Management

Voices are stored in the `./voices/` directory at the skill root level. Each voice has its own folder containing:
- `ref_audio.wav` - Reference audio file
- `ref_text.txt` - Reference text transcript
- `ref_instruct.txt` - Voice style description


#### Create a Voice
Create a reusable voice profile using VoiceDesign model. The `--instruct` parameter is required to describe the voice style:
```bash
uv run --project "/<qwen-audio-skill-path>" python "<qwen-audio-skill-path>/scripts/qwen-audio.py" voice create --text "This is a sample voice reference text." --instruct "A warm, friendly female voice with a professional tone." --id "my-voice-id"
```
Optional: `--id "my-voice-id"` to specify a custom voice ID.

**Returns (JSON):**
```json
{
  "id": "my-voice-id",
  "ref_audio": "/<qwen-audio-skill-path>/voices/my-voice-id/ref_audio.wav",
  "ref_text": "This is a sample voice reference text.",
  "instruct": "A warm, friendly female voice with a professional tone.",
  "duration": 3.456,
  "sample_rate": 24000,
  "success": true
}
```


#### List Voices
List all created voice profiles:
```bash
uv run --project "/<qwen-audio-skill-path>" python "<qwen-audio-skill-path>/scripts/qwen-audio.py" voice list
```

**Returns (JSON):**
```json
[
  {
    "id": "my-voice-id",
    "ref_audio": "/<qwen-audio-skill-path>/voices/my-voice-id/ref_audio.wav",
    "ref_text": "This is a sample voice reference text.",
    "instruct": "A warm, friendly female voice with a professional tone.",
    "duration": 3.456,
    "sample_rate": 24000
  }
]
```


### Text to Speech

#### TTS Voice Pre-check (Requir...

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