aliyun-qwen-tts-voice-clone
SkillMediaLets your agent clone a voice from an audio sample and speak new text in that voice.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the aliyun-qwen-tts-voice-clone skill
About this skill
Use when cloning voices with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with cloned timbre.
What this skill tells your AI
The instructions your AI receives, as published by cinience/alicloud-skills in skills/ai/audio/aliyun-qwen-tts-voice-clone/SKILL.md and read by ahel’s review.
Category: provider
Model Studio Qwen TTS Voice Clone
Use voice cloning models to replicate timbre from enrollment audio samples.
Critical model names
Use one of these exact model strings:
qwen3-tts-vc-2026-01-22qwen3-tts-vc-realtime-2026-01-15
Prerequisites
- Install SDK in a virtual environment:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials.
Normalized interface (tts.voice_clone)
Request
text(string, required)voice_sample(string | bytes, required) enrollment samplevoice_name(string, optional)stream(bool, optional)
Response
audio_url(string) or streaming PCM chunksvoice_id(string)request_id(string)
Operational guidance
- Use clean speech samples with low background noise.
- Respect consent and policy requirements for cloned voices.
- Persist generated
voice_idand reuse for future synthesis requests.
Local helper script
Prepare a normalized request JSON and validate response schema:
.venv/bin/python skills/ai/audio/aliyun-qwen-tts-voice-clone/scripts/prepare_voice_clone_request.py \
--text "Welcome to this voice-clone demo" \
--voice-sample "https://example.com/voice-sample.wav"
Output location
- Default output:
output/ai-audio-tts-voice-clone/audio/ - Override base dir with
OUTPUT_DIR.
Validation
mkdir -p output/aliyun-qwen-tts-voice-clone
for f in skills/ai/audio/aliyun-qwen-tts-voice-clone/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-qwen-tts-voice-clone/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-tts-voice-clone/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-qwen-tts-voice-clone/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
- Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
- Run one minimal read-only query first to verify connectivity and permissions.
- Execute the target operation with explicit parameters and bounded scope.
- Verify results and save output/evidence files.
References
references/sources.md
Signals
- GitHub stars
- 396
- Forks
- 35
- Last commit
- Aug 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
alicloud-skills-aliyun-qwen-tts-voice-clone- Source
- github.com/cinience/alicloud-skills