ada20204/qwen-voice
/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add ada20204/qwen-voice qwen-voiceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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95%
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95%
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Last scanned: Apr 1, 2026, 12:04 AM52.9s9 files scanned
SKILL.md
- 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. Configure DASHSCOPE_API_KEY in one of:
~/.config/qwen-voice/.env(recommended)<repo>/.qwen-voice/.env(dev/testing)
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.
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