Aliyun Cosyvoice Voice Design

Category: provider

Model Studio CosyVoice Voice Design

Use the CosyVoice voice enrollment API to create designed voices from a natural-language voice description.

Critical model names

Use model="voice-enrollment" and one of these target_model values:

• cosyvoice-v3.5-plus
• cosyvoice-v3.5-flash
• cosyvoice-v3-plus
• cosyvoice-v3-flash

Recommended default in this repo:

• target_model="cosyvoice-v3.5-plus"

Region and compatibility

• cosyvoice-v3.5-plus and cosyvoice-v3.5-flash are available only in China mainland deployment mode (Beijing endpoint).
• In international deployment mode (Singapore endpoint), cosyvoice-v3-plus and cosyvoice-v3-flash do not support voice clone/design.
• The target_model must match the later speech synthesis model.

Endpoint

• Domestic: https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization
• International: https://dashscope-intl.aliyuncs.com/api/v1/services/audio/tts/customization

Prerequisites

• Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Normalized interface (cosyvoice.voice_design)

Request

• model (string, optional): fixed to voice-enrollment
• target_model (string, optional): default cosyvoice-v3.5-plus
• prefix (string, required): letters/digits only, max 10 chars
• voice_prompt (string, required): max 500 chars, Chinese or English only
• preview_text (string, required): max 200 chars, Chinese or English
• language_hints (array[string], optional): zh or en, and should match preview_text
• sample_rate (int, optional): e.g. 24000
• response_format (string, optional): e.g. wav

Response

• voice_id (string)
• request_id (string)
• status (string, optional)

Operational guidance

• Keep voice_prompt concrete: timbre, age range, pace, emotion, articulation, and scenario.
• If language_hints is used, it should match the language of preview_text.
• Designed voice names include a -vd- marker in the generated backend naming convention.

Local helper script

Prepare a normalized request JSON:

bashCopy code
python skills/ai/audio/aliyun-cosyvoice-voice-design/scripts/prepare_cosyvoice_design_request.py \
  --target-model cosyvoice-v3.5-plus \
  --prefix announcer \
  --voice-prompt "沉稳的中年男性播音员，低沉有磁性，语速平稳，吐字清晰。" \
  --preview-text "各位听众朋友，大家好，欢迎收听晚间新闻。" \
  --language-hint zh

Validation

bashCopy code
mkdir -p output/aliyun-cosyvoice-voice-design
for f in skills/ai/audio/aliyun-cosyvoice-voice-design/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-cosyvoice-voice-design/validate.txt

Pass criteria: command exits 0 and output/aliyun-cosyvoice-voice-design/validate.txt is generated.

Output And Evidence

• Save artifacts, command outputs, and API response summaries under output/aliyun-cosyvoice-voice-design/.
• Include target_model, prefix, voice_prompt, and preview_text in the evidence file.

References

• references/api_reference.md
• references/sources.md