OpenClaw

qwen3-audio

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

darknoah0 来源安装数☆ 0 仓库 Starsv0.0.3

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install darknoah/qwen3-audio

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Qwen3-Audio

Overview

Qwen3-Audio is a high-performance audio processing library optimized for Apple Silicon (M1/M2/M3/M4). It delivers fast, efficient TTS and STT with support for multiple models, languages, and audio formats.

Prerequisites

Python 3.10+
Apple Silicon Mac (M1/M2/M3/M4)

Environment checks

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

Capabilities

Text to Speech

uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav"

Returns (JSON):

{
  "audio_path": "/path_to_save.wav",
  "duration": 1.234,
  "sample_rate": 24000
}

Voice Cloning

Clone any voice using a reference audio sample. Provide the wav file and its transcript:

uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --ref_audio "sample_audio.wav" --ref_text "This is what my voice sounds like."

ref_audio: reference audio to clone ref_text: transcript of the reference audio

Use Created Voice (Shortcut)

Use a voice created with voice create by its ID:

uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --ref_voice "my-voice-id"

This automatically loads ref_audio and ref_text from the voice profile.

CustomVoice (Emotion Control)

Use predefined voices with emotion/style instructions:

uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --speaker "Ryan" --language "English" --instruct "Very happy and excited."

VoiceDesign (Create Any Voice)

Create any voice from a text description:

uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --language "English" --instruct "A cheerful young female voice with high pitch and energetic t...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/darknoah/qwen3-audio
Version: 0.0.3
Commit: 0463e0cda3088a20a3786735b1afc571dfe12974
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Qwen3-Audio

## Overview

Qwen3-Audio is a high-performance audio processing library optimized for Apple Silicon (M1/M2/M3/M4). It delivers fast, efficient TTS and STT with support for multiple models, languages, and audio formats.

## Prerequisites

- Python 3.10+
- Apple Silicon Mac (M1/M2/M3/M4)

### Environment checks

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

## Capabilities

### Text to Speech
```bash
uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav"
```

**Returns (JSON):**
```json
{
  "audio_path": "/path_to_save.wav",
  "duration": 1.234,
  "sample_rate": 24000
}
```

### Voice Cloning
Clone any voice using a reference audio sample. Provide the wav file and its transcript:
```bash
uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --ref_audio "sample_audio.wav" --ref_text "This is what my voice sounds like."
```
ref_audio: reference audio to clone
ref_text: transcript of the reference audio

### Use Created Voice (Shortcut)
Use a voice created with `voice create` by its ID:
```bash
uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --ref_voice "my-voice-id"
```
This automatically loads `ref_audio` and `ref_text` from the voice profile.

### CustomVoice (Emotion Control)
Use predefined voices with emotion/style instructions:
```bash
uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --speaker "Ryan" --language "English" --instruct "Very happy and excited."
```

### VoiceDesign (Create Any Voice)
Create any voice from a text description:
```bash
uv run --python ".venv/bin/python" "./scripts/mlx-audio.py" tts --text "hello world" --output "/path_to_save.wav" --language "English" --instruct "A cheerful young female voice with high pitch and energetic t...

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