Overview
- Skill Key
- darknoah/qwen3-audio
- Author
- darknoah
- Source Repo
- openclaw/skills
- Version
- 0.0.3
- Source Path
- skills/darknoah/qwen3-audio
- Latest Commit SHA
- 0463e0cda3088a20a3786735b1afc571dfe12974
High-performance audio library for Apple Silicon with text-to-speech (TTS) and speech-to-text (STT).
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Status
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 qwen3-audio 技能。 若已安装,则直接安装 qwen3-audio 技能。
# 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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