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alicloud-ai-audio-tts-voice-clone

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.

cinience0 installations selon la source☆ 0 Étoiles du dépôtv1.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install cinience/alicloud-ai-audio-tts-voice-clone

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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 p...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/cinience/alicloud-ai-audio-tts-voice-clone
Version
1.0.0
Commit
3a7ba9a53e26ceb3aab8a9e8c43f7babe8091d78
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
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:

```bash
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:

```bash
.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

```bash
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 p...

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