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Aliyun Qwen Tts Voice Design

该 Skill 面向阿里云百炼 Model Studio 的 Qwen TTS 语音设计模型,用自然语言音色描述与待合成文本生成自定义合成语音,返回音频地址或流式音频及 voice_id;附带本地脚本用于生成标准化请求 JSON 并校验响应结构,需安装 dashscope SDK 并配置 API Key。

cinience
cinience
热度 34.25
最近更新 2026-05-11 17:39:08
分类:创作依赖:代码执行 / 第三方 API / 读写文件

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 aliyun-qwen-tts-voice-design
Metadata
name
aliyun-qwen-tts-voice-design
description
Use when designing custom voices 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/aliyun-qwen-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/aliyun-qwen-tts-voice-design
for f in skills/ai/audio/aliyun-qwen-tts-voice-design/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-qwen-tts-voice-design/validate.txt

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

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-qwen-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