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aliyun-qwen-tts-voice-clone

aliyun-qwen-tts-voice-clone

github.com/cinienceCreative & media396122 installsUpdated 11w ago
Repository

About aliyun-qwen-tts-voice-clone

A skill for cloning voices with Alibaba Cloud Model Studio Qwen TTS from enrollment audio. It returns an audio URL or PCM stream and a voice ID for later synthesis.

Key features

  1. 01Clone voices from audio samples
  2. 02Support standard and realtime models
  3. 03Return audio URLs or PCM streams
  4. 04Reuse saved voice IDs

Use cases

  1. 01Create custom voices for text-to-speech
  2. 02Retrieve generated speech as streaming PCM

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-qwen-tts-voice-clone

After installing, type/aliyun-qwen-tts-voice-clonein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
sources.md
scripts/
prepare_voice_clone_request.py

Details

From the project README

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

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

Output And Evidence

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

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