| name | alicloud-ai-audio-tts-voice-clone |
| description | Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with cloned timbre. |
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-2026-01-22
qwen3-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_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Normalized interface (tts.voice_clone)
Request
text (string, required)
voice_sample (string | bytes, required) enrollment sample
voice_name (string, optional)
stream (bool, optional)
Response
audio_url (string) or streaming PCM chunks
voice_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_id and reuse for future synthesis requests.
Local helper script
Prepare a normalized request JSON and validate response schema:
.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/prepare_voice_clone_request.py \
--text "欢迎来到语音复刻演示" \
--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.
References