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Alicloud Ai Audio Tts Voice Design

基于阿里云Model Studio的Qwen TTS VD模型,提供音色设计工作流,可通过自然语言描述生成可控的定制合成语音,并将指定文本转为语音。支持流式输出,适合产品统一语音播报、有声内容制作等场景。需安装dashscope SDK并配置API密钥,输入含语音风格描述、待转文本,可选流式参数;输出含音频链接/流式PCM、语音ID等,建议先短文本验证效果,可构建语音提示库保障一致性。

cinience
cinience
热度 79.23
最近更新 2026-05-11 16:28:08
分类:创作依赖:代码执行 / 第三方 API / 读写文件应用场景:API 集成 / 工作流 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add alicloud-ai-audio-tts-voice-design
Metadata
name
alicloud-ai-audio-tts-voice-design
description
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.
version
1.0.0

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

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • references/sources.md