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Alicloud Ai Audio Tts Voice Clone

该工具基于阿里云Model Studio的Qwen TTS VC模型,核心功能是从干净语音样本中克隆音色,并将指定文本合成为对应音色的语音,支持流式输出。典型场景包括定制专属语音的内容创作、智能客服语音生成等。输入需提供待合成文本与语音样本,可选语音名、流式参数;输出为音频链接/流式PCM块、语音ID等。需安装DashScope SDK并配置API密钥,使用时需合规操作,可复用语音ID。

cinience
cinience
热度 87.14
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

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-clone
Metadata
name
alicloud-ai-audio-tts-voice-clone
description
Voice cloning workflows with Alibaba Cloud Model Studio Qwen TTS VC models. Use when creating cloned voices from sample audio and synthesizing text with cloned timbre.
version
1.0.0

Category: provider

Model Studio Qwen TTS Voice Clone

Use voice cloning models to replicate timbre from enrollment audio samples.

Critical model names

Use one of these exact model strings:

  • qwen3-tts-vc-2026-01-22
  • qwen3-tts-vc-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_clone)

Request

  • text (string, required)
  • voice_sample (string | bytes, required) enrollment sample
  • voice_name (string, optional)
  • stream (bool, optional)

Response

  • audio_url (string) or streaming PCM chunks
  • voice_id (string)
  • request_id (string)

Operational guidance

  • Use clean speech samples with low background noise.
  • Respect consent and policy requirements for cloned voices.
  • Persist generated voice_id and reuse for future synthesis requests.

Local helper script

Prepare a normalized request JSON and validate response schema:

.venv/bin/python skills/ai/audio/alicloud-ai-audio-tts-voice-clone/scripts/prepare_voice_clone_request.py \
  --text "Welcome to this voice-clone demo" \
  --voice-sample "https://example.com/voice-sample.wav"

Output location

  • Default output: output/ai-audio-tts-voice-clone/audio/
  • Override base dir with OUTPUT_DIR.

Validation

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

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

Output And Evidence

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