alicloud-ai-audio-tts-voice-clone

Model Studio Qwen TTS Voice Clone

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Install skill "alicloud-ai-audio-tts-voice-clone" with this command: npx skills add cinience/alicloud-skills/cinience-alicloud-skills-alicloud-ai-audio-tts-voice-clone

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

  • 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

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