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Voice design workflows with Alibaba Cloud Model Studio Qwen TTS VD models. Use when creating custom synthetic voices from text descriptions and using them for speech synthesis.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cinience/alicloud-ai-audio-tts-voice-design打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Category: provider
Use voice design models to create controllable synthetic voices from natural language descriptions.
Use one of these exact model strings:
qwen3-tts-vd-2026-01-26
qwen3-tts-vd-realtime-2026-01-15
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.voice_prompt (string, required) target voice descriptiontext (string, required)stream (bool, optional)audio_url (string) or streaming PCM chunksvoice_id (string)request_id (string)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/ai-audio-tts-voice-design/audio/
OUTPUT_DIR.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 "$f"
done
echo "py_compile_ok" > output/alicloud-ai-audio-tts-voice-design/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-audio-tts-voice-design/validate.txt is generated.
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Category: provider # Model Studio Qwen TTS Voice Design Use voice design models to create controllable synthetic voices from natural language descriptions. ## Critical model names Use one of these exact model strings: - `qwen3-tts-vd-2026-01-26` - `qwen3-tts-vd-realtime-2026-01-15` ## Prerequisites - Install SDK in a virtual environment: ```bash python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope ``` - Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`. ## Normalized interface (tts.voice_design) ### Request - `voice_prompt` (string, required) target voice description - `text` (string, required) - `stream` (bool, optional) ### Response - `audio_url` (string) or streaming PCM chunks - `voice_id` (string) - `request_id` (string) ## Operational guidance - Write voice prompts with tone, pace, emotion, and timbre constraints. - Build a reusable voice prompt library for product consistency. - Validate generated voice in short utterances before long scripts. ## Local helper script Prepare a normalized request JSON and validate response schema: ```bash .venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/prepare_voice_design_request.py \ --voice-prompt "A warm female host voice, clear articulation, medium pace" \ --text "This is a voice-design demo" ``` ## Output location - Default output: `output/ai-audio-tts-voice-design/audio/` - Override base dir with `OUTPUT_DIR`. ## Validation ```bash mkdir -p output/alicloud-ai-audio-tts-voice-design for f in skills/ai/audio/alicloud-ai-audio-tts-voice-design/scripts/*.py; do python3 -m py_compile "$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-tt...
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