Agent Skills
› NeverSight/learn-skills.dev
› qwen-voice
qwen-voice
GitHub基于Qwen的语音技能，支持Telegram音频的ASR转录（含可选时间戳）及TTS语音合成。提供预设音色与声音克隆功能，输出Opus格式音频适配Telegram消息场景。
Trigger Scenarios
用户发送语音或音频消息
用户明确要求使用语音回复
Install
npx skills add NeverSight/learn-skills.dev --skill qwen-voice -g -y
SKILL.md
Frontmatter
{
"name": "qwen-voice",
"description": "Use Qwen (DashScope\/百炼) for speech tasks: (1) ASR speech-to-text transcription of user audio\/voice messages (Telegram .ogg opus, wav, mp3) using qwen3-asr-flash, optionally with coarse timestamps via chunking; (2) TTS text-to-speech voice reply using qwen3-tts-flash with selectable voice (default Cherry) and output as .ogg voice note for Telegram."
}
Qwen Voice (ASR + TTS)
Use the bundled scripts. Prefer environment variable DASHSCOPE_API_KEY. If missing, scripts attempt to read it from ~/.bashrc.
ASR (speech → text)
Non-timestamp (default)
python3 skills/qwen-voice/scripts/qwen_asr.py --in /path/to/audio.ogg
With timestamps (chunk-based)
python3 skills/qwen-voice/scripts/qwen_asr.py --in /path/to/audio.ogg --timestamps --chunk-sec 3
Notes:
- Timestamps are generated by fixed-length chunking (not word-level alignment).
- Input audio is converted to mono 16kHz WAV before sending.
TTS (text → speech)
Preset voice (default: Cherry)
python3 skills/qwen-voice/scripts/qwen_tts.py --text '你好，我是 Pi。' --voice Cherry --out /tmp/out.ogg
Clone voice (create once, reuse)
- Create a voice profile from a sample audio:
python3 skills/qwen-voice/scripts/qwen_voice_clone.py --in ./voice_sample.ogg --name george --out work/qwen-voice/george.voice.json
- Use the cloned voice to synthesize:
python3 skills/qwen-voice/scripts/qwen_tts.py --text '你好，我是 George。' --voice-profile work/qwen-voice/george.voice.json --out /tmp/out.ogg
Notes:
.oggoutput is Opus, suitable for Telegram voice messages.- Voice cloning uses DashScope customization endpoint + Qwen realtime TTS model.
- Scripts use a local venv at
work/venv-dashscope(auto-created on first run).
Typical chat workflow
- When user sends voice message/audio: run ASR and reply with the transcribed text.
- When user explicitly asks for voice reply: run TTS and send the generated
.oggas a voice note.
Version History
- e0220ca Current 2026-07-05 23:03
