ada20204/qwen-voice/qwen-voice

qwen-voice

Use DashScope-backed Qwen speech scripts for cloud ASR, cloud TTS, and optional voice cloning.

Use this skill for the right cases

• Prefer this skill when local-whisper or local-qwen-tts is not the right fit.
• Use it for cloud ASR on audio files.
• Use it for cloud TTS voices or clone profiles.
• Expect network/API dependency and possible cost.

Config

Expect DASHSCOPE_API_KEY in one of:

• ~/.config/qwen-voice/.env
• <repo>/.qwen-voice/.env

If missing, stop and report missing auth instead of guessing.

Scripts

# ASR
python3 "$SKILL_DIR/scripts/qwen_asr.py" --in /path/to/audio.ogg
python3 "$SKILL_DIR/scripts/qwen_asr.py" --in /path/to/audio.ogg --timestamps --chunk-sec 3
 
# preset voice TTS
python3 "$SKILL_DIR/scripts/qwen_tts.py" --text '你好，我是 Pi。' --voice Cherry --out /tmp/out.ogg
 
# create clone profile
python3 "$SKILL_DIR/scripts/qwen_voice_clone.py" --in ./voice_sample.ogg --name george --out "$SKILL_DIR/work/qwen-voice/george.voice.json"
 
# synthesize with clone profile
python3 "$SKILL_DIR/scripts/qwen_tts.py" --text '你好，我是 George。' --voice-profile "$SKILL_DIR/work/qwen-voice/george.voice.json" --out /tmp/out.ogg

Operational notes

• Output .ogg is suitable for Telegram voice notes.
• Timestamp mode is chunk-based, not true word alignment.
• Scripts create work files and venv inside $SKILL_DIR/work/ (not the project's cwd).
• Prefer sending larger batched requests over many tiny API calls when possible.

Failure rules

• If API key is missing: report auth missing.
• If audio conversion fails: check ffmpeg/input format first.
• If clone creation fails: separate clone-profile failure from normal preset-voice TTS.
• If ASR works but timestamps are messy: report they are coarse chunk timestamps, not exact word timings.