alicloud-ai-audio-tts-voice-design

SKILL.md

Category: provider

Model Studio Qwen TTS Voice Design

Use voice design models to create controllable synthetic voices from natural language descriptions.

Critical model names

Use one of these exact model strings:

qwen3-tts-vd-2026-01-26

qwen3-tts-vd-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_design)

Request

voice_prompt (string, required) target voice description

text (string, required)

stream (bool, optional)

Response

audio_url (string) or streaming PCM chunks

voice_id (string)

request_id (string)

Operational guidance

Write voice prompts with tone, pace, emotion, and timbre constraints.

Build a reusable voice prompt library for product consistency.

Validate generated voice in short utterances before long scripts.

Local helper script

Prepare a normalized request JSON and validate response schema:

.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/prepare_voice_design_request.py \
  --voice-prompt "A warm female host voice, clear articulation, medium pace" \
  --text "This is a voice-design demo"

Output location

Default output: output/ai-audio-tts-voice-design/audio/

Override base dir with OUTPUT_DIR.

Validation

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

Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-design/validate.txt is generated.

Output And Evidence

Save artifacts, command outputs, and API response summaries under output/alicloud-ai-audio-tts-voice-design/.

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